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TELECOMMUTE · Full-time

Worth AI, a leader in the computer software industry, is looking for a Senior Engineer to join our Platform team with a singular mission: to make our engineering organization faster, more reliable, and more joyful. In this role, you won't just be building features for end-users; you will be building the "Product for the Engineers." You will act as a force multiplier by identifying friction in the development lifecycle, architecting shared patterns, and unblocking technical debt that slows the team down. You are part architect, part investigator, and part educator. Responsibilities Conduct regular interviews with engineering teams to find pain points in their daily workflows and prioritize the creation of tools or architectural changes to eliminate them. Design and implement reusable patterns using Nest.js, React.js, and TypeScript that enable other engineers to ship high-quality, performant services and interfaces by default. Take ownership of systemic performance issues, such as optimizing slow PostgreSQL queries or refining Kafka producer/consumer patterns to ensure reliable message delivery. Own and evolve our Kubernetes and ArgoCD configurations to ensure seamless, automated, and safe deployments across the organization. Lead nebulous, cross-team technical challenges such as re-architecting shared libraries or evolving our service-to-service communication and drive them to a concrete resolution. Identify "sticky" or overly complex codebases and lead the effort to refactor them into maintainable, testable, and modern modules. Actively mentor and coach engineers across the organization, helping them level up their technical skills and understanding of our core architecture. Research, prototype, and roll out new internal tools, libraries, or frameworks that improve CI/CD, local development, or system observability. Introduce new frameworks or architectural shifts to the team and provide the documentation, workshops, and 1:1 support needed for successful adoption. Lead by example in code reviews, coaching others on maintainable design, testing strategies, and system-level risk mitigation. Communicate complex technical trade-offs effectively across functions, using empathy and self-awareness to handle conflict and align differing perspectives. Technology Stack Languages & Runtimes: Node.js, TypeScript Frameworks: Nest.js, React.js Data & Messaging: PostgreSQL, Kafka, Redis, Redshift Infrastructure & Orchestration: Kubernetes, ArgoCD Monitoring: DataDog Requirements 8+ years of experience in software engineering with a proven track record of leading teams and providing technical direction. Deep passion for mentorship with a history of developing the technical careers of associate and intermediate engineers. Prior experience specifically within Platform, Infrastructure, or Developer Experience (DevEx) teams. Deep professional expertise in the Node.js/TypeScript ecosystem, including experience scaling Nest.js backends and React.js frontends. Hands-on experience managing containerized workloads using Kubernetes and ArgoCD. Strong proficiency in PostgreSQL (query optimization and schema design) and Kafka (event-driven architecture). Proven ability to "unroll" complex legacy code and replace it with scalable, maintainable architecture. Experience navigating high-ambiguity environments and translating vague technical frustrations into prioritized roadmaps. Demonstrated ability to build psychological safety and trust within a team while raising the engineering quality bar. Success Metrics DORA Metrics Improvement: Drive measurable improvements in Deployment Frequency, Lead Time for Changes, Change Failure Rate, and Mean Time to Recovery (MTTR). System Latency: Successfully optimize core services to meet strict P90 and P99 latency targets, specifically targeting slow endpoints and database bottlenecks. Developer Velocity: Engineers ship code faster and more confidently due to the shared components, patterns, and tools you’ve built. Knowledge Distribution: The broader engineering team demonstrates increased proficiency in our core stack (Nest.js, React, Kafka) through your mentorship. Bonus Points (nice to haves, not requirements) Proven expertise with AWS services including MSK, RDS, EKS, S3, and Lambda. Strong background in Redshift, encompassing schema design, ETL pipeline management, and query optimization. Practical experience using Infrastructure-as-Code (IaC) tools like Terraform for managing large-scale cloud environments. Hands-on experience with Redis and implementing distributed system caching strategies to resolve bottlenecks in high-throughput applications. Proficient in Python, including libraries like Celery and SQLAlchemy. Familiarity with serverless computing approaches. All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town Halls and team collaboration in addition to orientation in Orlando, Florida. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance Flexible Vacation Work From Home Free Food & Snacks (in office) Orlando, Florida (Hybrid) Wellness Resources

TELECOMMUTE · Full-time

Worth AI, a leader in the computer software industry, is looking for a Senior Engineer to join our Platform team with a singular mission: to make our engineering organization faster, more reliable, and more joyful. In this role, you won't just be building features for end-users; you will be building the "Product for the Engineers." You will act as a force multiplier by identifying friction in the development lifecycle, architecting shared patterns, and unblocking technical debt that slows the team down. You are part architect, part investigator, and part educator. Responsibilities Conduct regular interviews with engineering teams to find pain points in their daily workflows and prioritize the creation of tools or architectural changes to eliminate them. Design and implement reusable patterns using Nest.js, React.js, and TypeScript that enable other engineers to ship high-quality, performant services and interfaces by default. Take ownership of systemic performance issues, such as optimizing slow PostgreSQL queries or refining Kafka producer/consumer patterns to ensure reliable message delivery. Own and evolve our Kubernetes and ArgoCD configurations to ensure seamless, automated, and safe deployments across the organization. Lead nebulous, cross-team technical challenges such as re-architecting shared libraries or evolving our service-to-service communication and drive them to a concrete resolution. Identify "sticky" or overly complex codebases and lead the effort to refactor them into maintainable, testable, and modern modules. Actively mentor and coach engineers across the organization, helping them level up their technical skills and understanding of our core architecture. Research, prototype, and roll out new internal tools, libraries, or frameworks that improve CI/CD, local development, or system observability. Introduce new frameworks or architectural shifts to the team and provide the documentation, workshops, and 1:1 support needed for successful adoption. Lead by example in code reviews, coaching others on maintainable design, testing strategies, and system-level risk mitigation. Communicate complex technical trade-offs effectively across functions, using empathy and self-awareness to handle conflict and align differing perspectives. Technology Stack Languages & Runtimes: Node.js, TypeScript Frameworks: Nest.js, React.js Data & Messaging: PostgreSQL, Kafka, Redis, Redshift Infrastructure & Orchestration: Kubernetes, ArgoCD Monitoring: DataDog Requirements 8+ years of experience in software engineering with a proven track record of leading teams and providing technical direction. Deep passion for mentorship with a history of developing the technical careers of associate and intermediate engineers. Prior experience specifically within Platform, Infrastructure, or Developer Experience (DevEx) teams. Deep professional expertise in the Node.js/TypeScript ecosystem, including experience scaling Nest.js backends and React.js frontends. Hands-on experience managing containerized workloads using Kubernetes and ArgoCD. Strong proficiency in PostgreSQL (query optimization and schema design) and Kafka (event-driven architecture). Proven ability to "unroll" complex legacy code and replace it with scalable, maintainable architecture. Experience navigating high-ambiguity environments and translating vague technical frustrations into prioritized roadmaps. Demonstrated ability to build psychological safety and trust within a team while raising the engineering quality bar. Success Metrics DORA Metrics Improvement: Drive measurable improvements in Deployment Frequency, Lead Time for Changes, Change Failure Rate, and Mean Time to Recovery (MTTR). System Latency: Successfully optimize core services to meet strict P90 and P99 latency targets, specifically targeting slow endpoints and database bottlenecks. Developer Velocity: Engineers ship code faster and more confidently due to the shared components, patterns, and tools you’ve built. Knowledge Distribution: The broader engineering team demonstrates increased proficiency in our core stack (Nest.js, React, Kafka) through your mentorship. Bonus Points (nice to haves, not requirements) Proven expertise with AWS services including MSK, RDS, EKS, S3, and Lambda. Strong background in Redshift, encompassing schema design, ETL pipeline management, and query optimization. Practical experience using Infrastructure-as-Code (IaC) tools like Terraform for managing large-scale cloud environments. Hands-on experience with Redis and implementing distributed system caching strategies to resolve bottlenecks in high-throughput applications. Proficient in Python, including libraries like Celery and SQLAlchemy. Familiarity with serverless computing approaches. All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town Halls and team collaboration in addition to orientation in Orlando, Florida. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance Flexible Vacation Work From Home Free Food & Snacks (in office) Orlando, Florida (Hybrid) Wellness Resources

TELECOMMUTE · Full-time

Worth AI, a leader in the computer software industry, is looking for a Senior Engineer to join our Platform team with a singular mission: to make our engineering organization faster, more reliable, and more joyful. In this role, you won't just be building features for end-users; you will be building the "Product for the Engineers." You will act as a force multiplier by identifying friction in the development lifecycle, architecting shared patterns, and unblocking technical debt that slows the team down. You are part architect, part investigator, and part educator. Responsibilities Conduct regular interviews with engineering teams to find pain points in their daily workflows and prioritize the creation of tools or architectural changes to eliminate them. Design and implement reusable patterns using Nest.js, React.js, and TypeScript that enable other engineers to ship high-quality, performant services and interfaces by default. Take ownership of systemic performance issues, such as optimizing slow PostgreSQL queries or refining Kafka producer/consumer patterns to ensure reliable message delivery. Own and evolve our Kubernetes and ArgoCD configurations to ensure seamless, automated, and safe deployments across the organization. Lead nebulous, cross-team technical challenges such as re-architecting shared libraries or evolving our service-to-service communication and drive them to a concrete resolution. Identify "sticky" or overly complex codebases and lead the effort to refactor them into maintainable, testable, and modern modules. Actively mentor and coach engineers across the organization, helping them level up their technical skills and understanding of our core architecture. Research, prototype, and roll out new internal tools, libraries, or frameworks that improve CI/CD, local development, or system observability. Introduce new frameworks or architectural shifts to the team and provide the documentation, workshops, and 1:1 support needed for successful adoption. Lead by example in code reviews, coaching others on maintainable design, testing strategies, and system-level risk mitigation. Communicate complex technical trade-offs effectively across functions, using empathy and self-awareness to handle conflict and align differing perspectives. Technology Stack Languages & Runtimes: Node.js, TypeScript Frameworks: Nest.js, React.js Data & Messaging: PostgreSQL, Kafka, Redis, Redshift Infrastructure & Orchestration: Kubernetes, ArgoCD Monitoring: DataDog Requirements 8+ years of experience in software engineering with a proven track record of leading teams and providing technical direction. Deep passion for mentorship with a history of developing the technical careers of associate and intermediate engineers. Prior experience specifically within Platform, Infrastructure, or Developer Experience (DevEx) teams. Deep professional expertise in the Node.js/TypeScript ecosystem, including experience scaling Nest.js backends and React.js frontends. Hands-on experience managing containerized workloads using Kubernetes and ArgoCD. Strong proficiency in PostgreSQL (query optimization and schema design) and Kafka (event-driven architecture). Proven ability to "unroll" complex legacy code and replace it with scalable, maintainable architecture. Experience navigating high-ambiguity environments and translating vague technical frustrations into prioritized roadmaps. Demonstrated ability to build psychological safety and trust within a team while raising the engineering quality bar. Success Metrics DORA Metrics Improvement: Drive measurable improvements in Deployment Frequency, Lead Time for Changes, Change Failure Rate, and Mean Time to Recovery (MTTR). System Latency: Successfully optimize core services to meet strict P90 and P99 latency targets, specifically targeting slow endpoints and database bottlenecks. Developer Velocity: Engineers ship code faster and more confidently due to the shared components, patterns, and tools you’ve built. Knowledge Distribution: The broader engineering team demonstrates increased proficiency in our core stack (Nest.js, React, Kafka) through your mentorship. Bonus Points (nice to haves, not requirements) Proven expertise with AWS services including MSK, RDS, EKS, S3, and Lambda. Strong background in Redshift, encompassing schema design, ETL pipeline management, and query optimization. Practical experience using Infrastructure-as-Code (IaC) tools like Terraform for managing large-scale cloud environments. Hands-on experience with Redis and implementing distributed system caching strategies to resolve bottlenecks in high-throughput applications. Proficient in Python, including libraries like Celery and SQLAlchemy. Familiarity with serverless computing approaches. All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town Halls and team collaboration in addition to orientation in Orlando, Florida. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance Flexible Vacation Work From Home Free Food & Snacks (in office) Orlando, Florida (Hybrid) Wellness Resources

TELECOMMUTE · Full-time

Worth AI, a leader in the computer software industry, is looking for a Senior Engineer to join our Platform team with a singular mission: to make our engineering organization faster, more reliable, and more joyful. In this role, you won't just be building features for end-users; you will be building the "Product for the Engineers." You will act as a force multiplier by identifying friction in the development lifecycle, architecting shared patterns, and unblocking technical debt that slows the team down. You are part architect, part investigator, and part educator. Responsibilities Conduct regular interviews with engineering teams to find pain points in their daily workflows and prioritize the creation of tools or architectural changes to eliminate them. Design and implement reusable patterns using Nest.js, React.js, and TypeScript that enable other engineers to ship high-quality, performant services and interfaces by default. Take ownership of systemic performance issues, such as optimizing slow PostgreSQL queries or refining Kafka producer/consumer patterns to ensure reliable message delivery. Own and evolve our Kubernetes and ArgoCD configurations to ensure seamless, automated, and safe deployments across the organization. Lead nebulous, cross-team technical challenges such as re-architecting shared libraries or evolving our service-to-service communication and drive them to a concrete resolution. Identify "sticky" or overly complex codebases and lead the effort to refactor them into maintainable, testable, and modern modules. Actively mentor and coach engineers across the organization, helping them level up their technical skills and understanding of our core architecture. Research, prototype, and roll out new internal tools, libraries, or frameworks that improve CI/CD, local development, or system observability. Introduce new frameworks or architectural shifts to the team and provide the documentation, workshops, and 1:1 support needed for successful adoption. Lead by example in code reviews, coaching others on maintainable design, testing strategies, and system-level risk mitigation. Communicate complex technical trade-offs effectively across functions, using empathy and self-awareness to handle conflict and align differing perspectives. Technology Stack Languages & Runtimes: Node.js, TypeScript Frameworks: Nest.js, React.js Data & Messaging: PostgreSQL, Kafka, Redis, Redshift Infrastructure & Orchestration: Kubernetes, ArgoCD Monitoring: DataDog Requirements 8+ years of experience in software engineering with a proven track record of leading teams and providing technical direction. Deep passion for mentorship with a history of developing the technical careers of associate and intermediate engineers. Prior experience specifically within Platform, Infrastructure, or Developer Experience (DevEx) teams. Deep professional expertise in the Node.js/TypeScript ecosystem, including experience scaling Nest.js backends and React.js frontends. Hands-on experience managing containerized workloads using Kubernetes and ArgoCD. Strong proficiency in PostgreSQL (query optimization and schema design) and Kafka (event-driven architecture). Proven ability to "unroll" complex legacy code and replace it with scalable, maintainable architecture. Experience navigating high-ambiguity environments and translating vague technical frustrations into prioritized roadmaps. Demonstrated ability to build psychological safety and trust within a team while raising the engineering quality bar. Success Metrics DORA Metrics Improvement: Drive measurable improvements in Deployment Frequency, Lead Time for Changes, Change Failure Rate, and Mean Time to Recovery (MTTR). System Latency: Successfully optimize core services to meet strict P90 and P99 latency targets, specifically targeting slow endpoints and database bottlenecks. Developer Velocity: Engineers ship code faster and more confidently due to the shared components, patterns, and tools you’ve built. Knowledge Distribution: The broader engineering team demonstrates increased proficiency in our core stack (Nest.js, React, Kafka) through your mentorship. Bonus Points (nice to haves, not requirements) Proven expertise with AWS services including MSK, RDS, EKS, S3, and Lambda. Strong background in Redshift, encompassing schema design, ETL pipeline management, and query optimization. Practical experience using Infrastructure-as-Code (IaC) tools like Terraform for managing large-scale cloud environments. Hands-on experience with Redis and implementing distributed system caching strategies to resolve bottlenecks in high-throughput applications. Proficient in Python, including libraries like Celery and SQLAlchemy. Familiarity with serverless computing approaches. All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town Halls and team collaboration in addition to orientation in Orlando, Florida. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance Flexible Vacation Work From Home Free Food & Snacks (in office) Orlando, Florida (Hybrid) Wellness Resources

TELECOMMUTE · Full-time

Worth AI, a leader in the computer software industry, is looking for a Senior Engineer to join our Platform team with a singular mission: to make our engineering organization faster, more reliable, and more joyful. In this role, you won't just be building features for end-users; you will be building the "Product for the Engineers." You will act as a force multiplier by identifying friction in the development lifecycle, architecting shared patterns, and unblocking technical debt that slows the team down. You are part architect, part investigator, and part educator. Responsibilities Conduct regular interviews with engineering teams to find pain points in their daily workflows and prioritize the creation of tools or architectural changes to eliminate them. Design and implement reusable patterns using Nest.js, React.js, and TypeScript that enable other engineers to ship high-quality, performant services and interfaces by default. Take ownership of systemic performance issues, such as optimizing slow PostgreSQL queries or refining Kafka producer/consumer patterns to ensure reliable message delivery. Own and evolve our Kubernetes and ArgoCD configurations to ensure seamless, automated, and safe deployments across the organization. Lead nebulous, cross-team technical challenges such as re-architecting shared libraries or evolving our service-to-service communication and drive them to a concrete resolution. Identify "sticky" or overly complex codebases and lead the effort to refactor them into maintainable, testable, and modern modules. Actively mentor and coach engineers across the organization, helping them level up their technical skills and understanding of our core architecture. Research, prototype, and roll out new internal tools, libraries, or frameworks that improve CI/CD, local development, or system observability. Introduce new frameworks or architectural shifts to the team and provide the documentation, workshops, and 1:1 support needed for successful adoption. Lead by example in code reviews, coaching others on maintainable design, testing strategies, and system-level risk mitigation. Communicate complex technical trade-offs effectively across functions, using empathy and self-awareness to handle conflict and align differing perspectives. Technology Stack Languages & Runtimes: Node.js, TypeScript Frameworks: Nest.js, React.js Data & Messaging: PostgreSQL, Kafka, Redis, Redshift Infrastructure & Orchestration: Kubernetes, ArgoCD Monitoring: DataDog Requirements 8+ years of experience in software engineering with a proven track record of leading teams and providing technical direction. Deep passion for mentorship with a history of developing the technical careers of associate and intermediate engineers. Prior experience specifically within Platform, Infrastructure, or Developer Experience (DevEx) teams. Deep professional expertise in the Node.js/TypeScript ecosystem, including experience scaling Nest.js backends and React.js frontends. Hands-on experience managing containerized workloads using Kubernetes and ArgoCD. Strong proficiency in PostgreSQL (query optimization and schema design) and Kafka (event-driven architecture). Proven ability to "unroll" complex legacy code and replace it with scalable, maintainable architecture. Experience navigating high-ambiguity environments and translating vague technical frustrations into prioritized roadmaps. Demonstrated ability to build psychological safety and trust within a team while raising the engineering quality bar. Success Metrics DORA Metrics Improvement: Drive measurable improvements in Deployment Frequency, Lead Time for Changes, Change Failure Rate, and Mean Time to Recovery (MTTR). System Latency: Successfully optimize core services to meet strict P90 and P99 latency targets, specifically targeting slow endpoints and database bottlenecks. Developer Velocity: Engineers ship code faster and more confidently due to the shared components, patterns, and tools you’ve built. Knowledge Distribution: The broader engineering team demonstrates increased proficiency in our core stack (Nest.js, React, Kafka) through your mentorship. Bonus Points (nice to haves, not requirements) Proven expertise with AWS services including MSK, RDS, EKS, S3, and Lambda. Strong background in Redshift, encompassing schema design, ETL pipeline management, and query optimization. Practical experience using Infrastructure-as-Code (IaC) tools like Terraform for managing large-scale cloud environments. Hands-on experience with Redis and implementing distributed system caching strategies to resolve bottlenecks in high-throughput applications. Proficient in Python, including libraries like Celery and SQLAlchemy. Familiarity with serverless computing approaches. All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town Halls and team collaboration in addition to orientation in Orlando, Florida. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance Flexible Vacation Work From Home Free Food & Snacks (in office) Orlando, Florida (Hybrid) Wellness Resources

NIKE

Karnataka, Karnataka, India · Full Time

Become a Part of the NIKE, Inc. Team NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game. WHO YOU’LL WORK WITH You will be a part of the larger Corporate Function’s Finance & Procurement Cloud Engineering team working on Finance domain. You will work day-to-day with the team of engineers, the team’s Product Managers and Principal Engineers which are located globally to help achieve business objectives. You will also engage with other Global Technology functions and teams on organizational and technical goals WHO WE ARE LOOKING FOR We’re looking for a thought leader who will work directly with capability aka product team to understand business needs. And help, lead, coach, and inspire a team of Software Engineers. We want someone with a background in software engineering and someone who has a background in modern software delivery principles/philosophies. The ideal candidate would also have a background in cloud native architecture and microservice design. Experience leading teams in a highly collaborative environment Bachelor’s degree in computer science or engineering, Information Systems, or similar field or relevant professional experience in lieu of a degree 10+ years’ experience in technology & software engineering roles Significant experience in software engineering, demonstrable knowledge of the set of roles, skills, activities, practices, tools, and deliverables applied at every phase of the software lifecycle Experience with cloud architecture, infrastructure as code, CI/CD and related tools. Experience with cloud platform like AWS / Azure Experience with implementing and integrating AI, Machine Learning and related data solutions, along with ML OPS is preferred. Strong understanding of architectural design patterns and computer-science fundamentals Nice to have knowledge of open-source technologies and impact of build vs buy decisions in the area of data movement, enrichment, workflow, orchestration Must be able to articulate and/or have experience with integration patterns, data movement and enrichment capabilities. Must understand enterprise security and privacy requirements associated with the above technologies. Proven experience collaborating on latest technologies with Engineers and Architects. Extensive background in working with technical product teams Proven track record of being results oriented with demonstrated ability to achieve aggressive goals. Proven communication and facilitation skills. Experience with Agile software development methodology. Must excel working in team-oriented roles that rely on ability to collaborate with others WHAT YOU WILL WORK ON Lead and grow a high-performing team of Cloud Integration Engineers responsible for building and operating scalable applications and services that support the Finance & Procurement ecosystem. Own the technical delivery of cloud-native integration solutions, ensuring they are secure, reliable, and aligned with enterprise architecture and platform standards. Partner closely with Product, Architecture, Security, and Platform teams to translate business needs into well-designed technical solutions. Provide hands-on technical leadership across the full software development lifecycle, including design, development, testing, deployment, and production support. Drive adoption of modern cloud engineering practices, including infrastructure as code, CI/CD pipelines, observability, and automated quality and security controls. Guide the team on integration patterns, data movement, enrichment, orchestration, and workflow design across distributed systems. Champion architectural best practices and contribute to technology decisions, including build vs. buy evaluations and adoption of open-source or managed cloud services. Support the implementation and integration of AI/ML-powered solutions and data pipelines, in partnership with platform and data teams, where they add measurable business value. Foster a collaborative, inclusive, and results-oriented team culture focused on continuous improvement, learning, and rapid delivery. Mentor and coach engineers, helping them grow their technical depth, leadership capabilities, and career progression. Ensure solutions meet enterprise security, privacy, and compliance requirements while maintaining high standards for performance and resiliency. Drive all agile ceremonies, including, stand-ups, sprint planning, sprint refinement NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world. NIKE, Inc. is an equal opportunity employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability. Apply Now Share Job Share Job Posting Faceboox Opens In A New Tab LinkedIn Link Opens In New Window Email Close-Medium (Default Size)-icon Close Menu

NIKE

Karnataka, Karnataka, India · Full Time

Become a Part of the NIKE, Inc. Team NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game. WHO YOU WILL WORK WITH You will work closely with business stakeholders, product owners, and your peers within the engineering team to ensure the successful delivery of reporting solutions. Additionally, you will work with other technology teams that lead the up- and down-streams solutions to coordinate dependencies. WHO WE ARE LOOKING FOR We seek passionate engineers to join our team. As a Principal AI/ML Engineer, you will influence and develop robust machine learning and generative AI solutions that have a direct impact on the business. You should have experience in Python; a strong background in algorithms and data structures; hands-on AWS experience; as well as experience in database technology (e.g. Postgres, Redis) and data processing technology (e.g. Sagemaker or DataBricks). You should also have a demonstrable history of team leadership and value delivery, and be comfortable working in an agile product model. As a Principal AI/ML Engineer, you will be expected to own projects end-to-end - from conception to operationalization, demonstrating an understanding of the full software development lifecycle. As a result, you will be expected to provide technical vision and guidance to your teammates; therefore, strong communication skills are critical in this role. To make it clear, we're not looking for just anyone. We're looking for someone special, someone who had these experiences and clearly demonstrated these skills: Undergraduate degree in Computer Science, a Master's degree in a related engineering field, or equivalent experience 10+ years of professional experience in software engineering 3+ years of experience in the field of Machine Learning Engineering or related fields Strong analytical mindset and experience leading others in problem solving Proficiency working in a team and mentoring others to write robust, maintainable, and extendable code in Python; containerized in Docker, and automated with CI/CD Expertise with agile development and test-driven development Expertise with data structures, data modeling and software architecture Expertise in producing predictive or mathematical optimization models and deploying them to production Experience with complex data sets, ETL pipelines, SQL, and general data engineering Expertise in MLOps or API development is highly desirable Expertise with cloud architecture and technologies, especially Amazon Web Services Expertise with Spark, Kubernetes, Docker, Jenkins, Databricks, or Terraform is highly desirable Effective communication skills with team members, stakeholders, the business, and in code Experience influencing technical strategy through all aspects of technical design and implementation Proficiency providing technical leadership within a team and mentorship to others WHAT YOU WILL WORK ON If this is you, you’ll be working with the Corporate Functions Artificial Intelligence team at Nike focused on delivering AI capabilities for Nike’s corporate functions. With teammates globally distributed, you’ll be joining a global organization working to solve machine learning problems at scale. You’ll be designing and implementing scalable applications that leverage prediction models and optimization programs to deliver data driven decisions that result in immense business impact. You’ll also contribute to core advanced analytics, machine learning, and generative AI platforms and tools to enable both prediction and optimization model development. You thrive when surrounded by talented colleagues and aim to never stop learning. We are looking for candidates who enjoy a collaborative and academic environment where we develop and share new skills, mentor, and contribute knowledge and software back to the analytics and engineering communities both within Nike and at-large. NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world. NIKE, Inc. is an equal opportunity employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability. Apply Now Share Job Share Job Posting Faceboox Opens In A New Tab LinkedIn Link Opens In New Window Email Close-Medium (Default Size)-icon Close Menu

Austin, Texas, United States · Full-time

We are a leading global asset management firm with over 3,000 employees across 20 offices in 15 countries; we help millions of investors around the world pursue their financial goals. We hire critical thinkers. People who thrive in a collaborative culture like ours where we solve real problems while building the future of finance. You Are excited to be part of a vibrant engineering community that values diversity, hard work, and continuous learning. Love solving complex real-world business problems. Recognize that cross-functional collaboration is a core component of success for the team. Believe there are multiple ways to solve most technical problems and are willing to debate the trade-offs. Have become a stronger engineer by making mistakes and learning from them. Are a doer, someone who wants to grow their career and gain experience across technologies and business functions. We Continuously invest in a high-performance and inclusive culture, in which a diversity of backgrounds, experiences and viewpoints are celebrated and valued. Encourage career mobility, so you can benefit from learning different functions and technologies, and we gain the benefits of your experience across teams. Run technology pro bono programs that help the non-profit community and give our engineering community opportunities to volunteer and participate. Offer education reimbursements and ongoing training in technology, communication, and diversity & inclusion. Embrace knowledge sharing through lunch-and-learns, demos, and technical forums. Consider our people to be our greatest asset—we will help you learn what PIMCO Technology has to offer so you can participate in activities that benefit your career while delivering impactful technology solutions. 2027 Summer Intern - Technology Analyst, Software Engineering Internship positions are located at PIMCO’s office in Austin, Texas. About the role: Our PIMCO Technology teams produce technology solutions to help our firm make investment decisions, manage portfolio risk, and serve our clients. As a Technology Analyst at PIMCO, you will sit at the intersection of finance and technology, solve fast-paced problems, and drive innovation. Over 10 weeks during the summer, interns work alongside engineers, developers, investment professionals, and analytics teams to develop cutting-edge software and deliver value-add tools. You'll have the chance to define your career with a dynamic, growing global investment management leader while working with a smart, fun team. You are eligible to apply if you: Are a currently pursuing a bachelor’s or master’s degree in computer science, engineering or a similar major Must be able to begin full-time employment at the Austin PIMCO office between January 2028 – August 2028 Must be enrolled at a university during the Fall 2027 semester (August 2027 – December 2027) Have a minimum 3.5 cumulative collegiate grade point average, on a 4.0 scale or the equivalent, at an accredited four-year college or university Are fluent in English (speaking, reading, writing) You’ll excel as a Technology Analyst if you: Are curious with strong problem-solving skills and the desire to take ownership and drive solutions to completion Possess strong programming skills, such as Python, Java, C#, C++, SQL, RDBMS, and data warehouse skills or experience Possess superb interpersonal skills, including the ability to explain complex technical concepts to stakeholders across the firm Have the ability to work well independently and in a team environment Have demonstrated curiosity and experience in using new emerging technologies and AI tools in your work or school projects to solve problems and drive better outcomes The PIMCO internship experience: The PIMCO Internship is a 10-week program that runs from early June to mid-August, with the expectation that you will be available for the full duration of the program During Week 1, you’ll participate in PIMCO Fundamentals Training, providing you with the skills, knowledge, and relationships that will prepare you for success. During Week 2, you will dive into PIMCO’s technology ecosystem and enhance your developer skills through PIMCO Technology University (PTU) Intern Bootcamp. Your supervisor, mentor, past-intern peers, senior leaders, and team offer guidance and mentorship throughout the summer. You will gain hands-on experience with AI-powered tools from day one, with training and resources that help build future ready skills and make an impact from the start. Alongside your colleagues, you’ll have opportunities to give back to the community through PIMCO's Global Month of Volunteering , developed to heighten the impact of our employees' worldwide volunteer efforts. You’ll be invited to join a variety of cross-divisional education, networking & social events! You’ll receive feedback through the formal review process at mid- and end-of-summer to keep you on the path to meeting your goals. As a PIMCO intern, you’ll receive competitive compensation, along with a transition bonus to help with relocation to our Austin, Texas office location. Want to learn more? Hear about The PIMCO Internship Experience from past interns What to expect during the interview process: After we receive your application, we will conduct an initial review of your resume Selected candidates are asked to complete a HackerRank assessment to demonstrate technical skill level. If you are selected to move forward, you will take a cognitive assessment and have the opportunity to showcase your interests, skills, and personality by completing a one-way video interview Once you complete the assessment and one-way video interview, you will have a final round of live interviews via video conference. These interviews typically include both behavioral and technical questions PIMCO is an equal opportunity employer committed to creating an inclusive, cognitively diverse environment. For more information on PIMCO and Career Opportunities, please visit www.pimco.com/careers PIMCO follows a total compensation approach when rewarding employees which includes a base salary and a discretionary bonus. Base salary is the fixed component of compensation that is determined by core job responsibilities, relevant experience, internal level, and market factors. The discretionary bonus is used to award performance and therefore is determined by company, business, team, and individual performance. Hourly Rate: $ 52.88 Equal Employment Opportunity and Affirmative Action Statement PIMCO recruits and hires qualified candidates without regard to race, national origin, ancestry, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender (including gender identity and expression), age, military or veteran status, disability (physical or mental), any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other basis such as medical condition, or marital status under applicable laws. Applicants with Disabilities PIMCO is an Equal Employment Opportunity/Affirmative Action employer. We provide reasonable accommodation for qualified individuals with disabilities, including veterans, in job application procedures. If you have any difficulty using our online system due to a disability and you would like to request an accommodation, you may contact us at 949-720-7744 and leave a message. This is a dedicated line designed exclusively to assist job seekers with disabilities to apply online. Only messages left for this purpose will be considered. A response to your request may take up to two business days.

Reddit

Remote - United States

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit brings people together around their interests, questions, and experiences. Our communities generate a rich and complex ecosystem of human activity, creating scientific challenges in understanding behavior, measuring impact, and anticipating change. The Data Science Platform team builds the tools that enable a scientific understanding of Reddit. We develop Reddit’s analytics agent, and the shared scientific capabilities and methods that allow data scientists and business partners to answer increasingly sophisticated questions. We are looking for a senior technical lead who combines deep expertise in statistics, machine learning and causal inference with strong software engineering ability. You will establish the scientific direction for agentic analytics, causal inference, and forecasting, turning advances in research into reliable software used across the company. As an Applied Scientist on the Science Platform team, you will work across the full development cycle: identifying important problems, evaluating research, implementing and validating methods, and shipping capabilities that others can use confidently. You will partner closely with software engineers and data scientists to build an analytics agent that can investigate questions, select appropriate methods, execute analyses, and communicate findings with clear assumptions and uncertainty. Responsibilities: Define the scientific roadmap for Data Science Platform across agentic analytics, causal inference and forecasting, identifying opportunities where advances in methodology can improve decision-making at scale across Reddit. Research, evaluate, and implement emerging methods. Move quickly from research papers to working prototypes, validate their practical value, and develop successful approaches into maintained production capabilities. Design and build our analytics agent’s architecture and capabilities, including how the agent decomposes questions, selects scientific methods, uses data and analytical tools, checks assumptions, and produces reproducible results. Build reusable causal inference tools that help teams estimate the effects of product changes, policies, and business decisions using observational data. Develop shared forecasting capabilities for business and product metrics, including probabilistic predictions, hierarchical forecasts, and scenario analysis. Create evaluation frameworks that measure the correctness and usefulness of agent-generated analyses. Build benchmarks, simulations, and automated checks that detect methodological errors, unsupported claims, and misleading interpretations. Own the implementation of scientific methods in production software, writing robust Python code and partnering with engineers on libraries, APIs, data pipelines, observability, and system design. Work with data scientists and business partners to identify recurring analytical needs and translate them into accessible platform capabilities, documentation, and workflows. Influence technical and organizational strategy through clear scientific recommendations, mentor scientists and engineers, and share methodological advances internally and externally where appropriate. Required Qualifications: A doctorate in Statistics, Economics, Computer Science, Applied Mathematics, Operations Research, or a related discipline; alternatively, a master’s degree supported by comparable depth of expertise. At least eight years of relevant industry work following a doctorate, or ten years with a master’s degree, in applied science, data science, scientific software development, or related roles. Deep knowledge of statistical inference and econometrics, with practical experience developing causal methods for observational data and evaluating the assumptions that make their conclusions credible. Experience developing and deploying forecasting systems, including time series modeling, temporal validation, prediction intervals, and assessment of performance as underlying conditions change. Strong software engineering skills, including substantial experience writing and maintaining production Python software. Familiarity with API design, automated testing, code review, version control, and operational monitoring. A demonstrated ability to critically assess scientific literature, reproduce relevant findings, and turn promising methods into reliable software that solves practical problems. Experience developing LLM applications or analytical agents, including tool use, code execution, and systematic evaluation of their outputs. Clear communication of statistical assumptions, uncertainty, and technical tradeoffs to business audiences. Experience developing other technical contributors through mentorship, design reviews, and collaboration across organizational boundaries. The ability to make progress on ambiguous problems, prioritize consequential work, and deliver useful capabilities through rapid iteration. Preferred Qualifications: Publications, open-source contributions, or widely adopted internal tools in agentic analytics, causal inference, forecasting, or other related fields. Experience building scientific libraries or platforms used by other data scientists, including interfaces that make sophisticated methods accessible to people with different levels of statistical expertise. Experience building agents at scale that perform substantive analytical work, including retrieval of relevant data and context, selection of methods, execution of Python or SQL, and validation of findings. Benefits: 100% remote opportunity (we have four office locations for hybrid/onsite work preference in NY, SF, LA and Chicago) Comprehensive Healthcare Benefits and Income Replacement Programs 401K with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-AJ1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $232,500 — $325,500 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

NIKE

Karnataka, Karnataka, India

Become a Part of the NIKE, Inc. Team NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game. WHO YOU’LL WORK WITH You will be a part of the larger Global Technology organization working on Nike’s internal product creation tools and report to the team’s Engineering Leadership team . You will work day-to-day with a team of engineers, the team’s Product Manager and Principal Engineers in the organization on software projects to achieve Nike’s business objectives. You will also engage with other Global Technology functions and teams on organizational and technical goals. WHO WE ARE LOOKING FOR We’re looking for a Software Engineer to solve complex software engineering problems supporting Nike’s pursuit of delivering state of the art tools to our Consumer Product & Innovation community. The candidate needs to be highly collaborative with peers, productive in a fast-paced development environment and have depth of native cloud software engineering experience. WHAT YOU’LL WORK ON You will be part of a team of engineers building out tooling for our internal Consumer Product & Innovation team members. We are investing in building modular, configurable and “API-First” capabilities which will be consumed by modern web applications build with the most recent SPA frameworks. Bachelor’s degree in Computer Science or Engineering , Information Systems, or similar field or relevant professional experience in lieu of a degree 2+ years of hands-on industry software development experience. Experience with front-end frameworks like React, Angula r, or Vue.js . Experience with cloud architecture, modern DevOps, infrastructure as code, CI/CD and related tools. Experience with AWS products including Lambda, Step Functions, DynamoDB, Elasticsearch, s3 Modern testing methodologies and frameworks such as Mocha, Jasmine and Jest Strong understanding of architectural design patterns and computer-science fundamentals Experience with implementing and integrating AI, Machine Learning and related data solutions preferred. Hands-on experience implementing and supporting modern software architectural principles and patterns (REST, domain-driven design, microservices, etc ) Excellent verbal and written communication skills Demonstrated ability to build and maintain relationships with multiple peers and cross-functional partners NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world. NIKE, Inc. is an equal opportunity employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability. Apply Now Share Job Share Job Posting Faceboox Opens In A New Tab LinkedIn Link Opens In New Window Email Close-Medium (Default Size)-icon Close Menu

NIKE

Beaverton, Oregon, United States

Become a Part of the NIKE, Inc. Team NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game. Software Engineer - NIKE, Inc. - Beaverton, OR. Develop, code/configure, test programs/systems and solutions problems in order to meet defined digital product specifications and direction; develop robust advanced analytics and machine learning solutions that have a direct impact on the business; help design and build scalable software solutions, make critical technical design choices, implement and integrate new technologies, manage and evolve existing platforms; design and implement scalable applications that leverage prediction models and optimization programs to deliver data driven decisions that result in immense business impact; assess a well-defined problem and lead the development of a technical solution that meets the needs of the business and aligns with architectural standards; participate in peer code reviews; contribute to core advanced analytics and machine learning platforms and tools to enable both prediction and optimization model development; solve machine learning problems at scale; and develop products focused primarily on consumer data that meets global expectations of security, reliability, and performance; collaborate with cross-functional teams to deliver impactful outcomes. Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY. Employer will accept a Bachelor’s degree in Information Technology, Computer Science and 5 years of progressive post-baccalaureate experience in the job offered or an engineer-related occupation. Experience must include: Data Engineering, Data Platform, and Analytics solutions using Databricks or Snowflake. Source-to-Pay and Procurement platforms such as Coupa Business rules management, workflow automation, and business process orchestration using enterprise BPM platforms such as Pega. Finance procure-to-pay (P2P) business processes, including sourcing, purchasing, invoicing, and vendor management. Design and implementation of integrations between SAP ERP and finance-related SaaS solutions using APIs and middleware technologies. Application integration and middleware technologies such as Oracle SOA Suite and Oracle Service Bus (OSB). Event streaming and messaging using Apache Kafka. Data orchestration and flow management using Apache NiFi. Enterprise application development using Java, Spring Boot, Python, and Node.js, including Domain-Driven Design (DDD) and RESTful service architecture. Cloud-native, microservice-based application development and deployment on Amazon Web Services (AWS), including API-first architecture. Containerized application design and development using Kubernetes. DevOps, CI/CD, Infrastructure as Code (IaC) using Git, Jenkins, Terraform, and AWS CloudFormation. Application observability, monitoring, and alerting using Splunk, SignalFx, and Amazon CloudWatch. Managed File Transfer (MFT) using Axway. Apply at www.Nike.com/Careers (Job R-96465) #LI-DNI We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form . NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world. NIKE, Inc. is an equal opportunity employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability. Apply Now Share Job Share Job Posting Faceboox Opens In A New Tab LinkedIn Link Opens In New Window Email Close-Medium (Default Size)-icon Close Menu

General Motors

Incheon, Korea, Republic of · Full time

Job Description Work Arrangement ​​ - The successful candidate is expected to report to GM Asia Pacific HQ, located in Bupyeong, Incheon, on a full-time basis. The Role - Write real code that powers our connected vehicle software platform (GMAP). You'll develop, test, and ship features alongside experienced developers, learning GM's software development practices along the way. You will validate vehicle systems and software across bench and in-vehicle environments while developing efficient, scalable test automation tools. What You'll Do - Write, test, and debug application software code Collaborate with the development team on new feature builds Participate in code reviews and day-to-day agile team activities Learn GM's software development lifecycle, tools, and best practices Validate vehicle system behavior on benches and in vehicles through software and system testing. Build and improve automated test scripts and tools for functional, integration, and regression testing. Analyze test results and logs, document defects, and support issue resolution with experienced engineers. Your Skills & Abilities (Required Qualifications) - Education: Bachelor's degree or higher from an accredited four-year university, or expected to earn one by February 2027. GPA: A cumulative GPA of B or higher, or at least 3.0 on a 4.5 scale. Major: Computer Science, Software Engineering, or related field English proficiency: TOEIC score of 750 or higher. - Equivalent scores accepted: OPIc IM2 or higher, or TOEIC Speaking score of 130 or higher. - TOEIC score submission is waived for graduates of, or candidates expected to graduate from, universities outside Korea. Availability: Able to participate in the internship on a full-time basis throughout the internship period. In accordance with applicable laws, preference may be given to persons of national merit and other individuals eligible for employment protection. What Will Give You a Competitive Edge (Preferred Qualifications) – Pursuing or holding a bachelor's degree in Computer Science, Software Engineering, or related field Working proficiency in at least one programming language (e.g., Java, Python, C++) Genuine enthusiasm for learning new tools and technologies Strong problem-solving mindset Basic understanding of software testing, verification, and validation. Ability to interpret test results and logs to identify potential issues. Interest in contributing to software quality alongside software development. How We Hire – • 모집기간 : 11. 03 (화) - 11.15 (일) 23시 59분 까지 • 연수기간: 01.04 (월) – 03.12 (금) [10주 프로그램] • 채용절차 : 서류 심사 - Video Assessment - Coding Test - 폰스크린 - 면접 - 온보딩 • 지원방법: GM Career Site 상단의 “ View Jobs in Korea” 또는 하단의 “ Latest Jobs in South Korea ”에서 지원하고자 하는 인턴 포지션을 선택한 후 “ Apply ”를 클릭 후 지원서 작성합니다. 온라인 지원서를 국문 으로 작성하고, 자유 양식의 이력서 또는 자기소개 포트폴리오 를 첨부합니다. *지원자의 개성과 역량이 잘 드러나는 창의적이고 시각적인 포트폴리오 작성을 권장합니다. 온라인 지원서의 각 문항에는 별도의 글자 수 제한이 없으나, 문항별 답변은 500자 내외로 작성해 주시기를 권장합니다. 첨부파일은 5MB 이하의 파일 1개만 만 업로드할 수 있습니다. PDF 형식을 권장하며, ZIP, Excel(.xls), 한글(.hwp) 또는 HTML 파일은 첨부할 수 없습니다. 온라인 지원서 작성과 개인정보 수집·이용 동의서 제출을 모두 완료 해야 최종 지원이 접수됩니다. 개인정보 수집·이용 동의서를 제출하지 않은 경우, 서류 심사 대상에서 제외됩니다. 지원서 제출 완료 후에는 내용을 수정할 수 없습니다. 수정을 위해 지원을 철회할 경우 동일 계정으로 재지원이 불가하므로, 제출 전 입력하신 내용을 신중히 확인해 주시기 바랍니다. • 기타사항 GMTCK 와 GMAP 는 GM 한국사업장 내 별도 법인으로, 채용 절차와 인턴십 프로그램이 각각 구분되어 운영될 예정입니다. 2027 GMTCK & GMAP 동계 인턴 프로그램 간 중복 지원은 불가 합니다. 단, GM한국사업장 내의 다른 직무에는 중복 지원이 가능합니다. 서류 접수 마감 후 직무별 채용 절차가 별도로 진행되므로, 직무에 따라 전형 일정이 다를 수 있습니다. 직무별 지원자 현황에 따라 지원하신 분야와 다른 직무로 전형이 진행될 수 있습니다. 회사 내규에 따라 실제 인턴십 근무일수를 기준으로 소정의 인턴십 수당이 지급됩니다. 본 인턴십은 채용 연계형으로, 인턴십 수료 후 평가 결과에 따라 정규직 전환 여부가 결정됩니다. 단, 모든 인턴십 수료자의 정규직 채용을 보장하지는 않습니다. 입사지원서에 허위 사실을 기재한 경우 합격이 취소될 수 있습니다. 문의: 이메일(korea.recruit@gm.com) 또는 카카오톡 오픈채팅 을 이용해 주세요. 

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need gm immigration sponsorship now or in the future.

This role is categorized as onsite. This means the selected candidate is expected to report to a specific location on a full-time basis.

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Non-Discrimination and Equal Employment Opportunities General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire . Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Israel, Tel Aviv · Full time

We are looking for a 100% hands-on Principal Storage Services Software engineer to join the block storage group. You will be a member of a team that builds the next generation block storage capabilities. You will work closely with a variety of teams and architects including the networking team, HW team and external customers. You will define the Software architecture and implementation of the most advanced storage services! Services that will need to meet extreme performance and scalability demands! We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform of tomorrow. At NVIDIA, we work, think and learn as a team. We thrive in a deeply strong environment, and we're passionate about a culture that demands innovation and the highest standards. The rewards are sweet and include collaborating with some of the smartest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to work on products that transform the way people work and play. What you’ll be doing: 100% hands-on coding role in C language Access advanced AI tools and a token budget for code development provided by NVIDIA, the world's AI factory leader. Research, design, implement and test, new and existing, distributed storage services and features of NVIDIA’s block storage solution, in both Host and DPU environments, in a large scale production system Acquire understanding of the algorithms, the technicalities and the interaction with the other components Analyze challenging bugs and customer cases, identifying issues in the cluster-manager and often in other components Drive new solutions based on any issues that arise What we need to see: B.Sc. or M.Sc. in Computer Science or related discipline (or equivalent experience). 15+ years of experience as a senior developer, preferably in a storage company. Experience with storage protocols and standards Comprehension of large and sophisticated systems. Shows strong potential to become a tech leader. Ways to Stand Out From the Crowd: Independence. Strong communication skills. Ability to work with customers and partners NVIDIA has continuously reinvented itself over two decades. NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. This is our life’s work — to amplify human imagination and intelligence. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers.

Israel, Yokneam | Israel, Raanana · Full time

NVIDIA DOCA Verification team is seeking a highly motivated and hardworking Software Engineer with hands-on capability technical experience, to verify the design and implementation of the next generation Data Processing Unit Software, with wide range of features related to cyber security and embedded systems. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting data centers across the world. At NVIDIA, We're united in our quest to transform the way Smart Adapters are used. What you'll be doing: Work with some of the best engineers to define, plan, and develop Testing platforms and infrastructure. Build and continuously reform verification infrastructure and methodologies to meet the demands of next generation DPU Work closely with customers and end users to collects requirements and understand use cases Deep engagement in NVIDIA products and services. What we need to see: Bachelors Degree in EE, CS or CE or equivalent work experience Strong programming skills in C/C++ Detail oriented and comfortable multitasking in a dynamic environment with shifting priorities and changing requirements Ability to work with various teams and have strong analytical, debugging and problem-solving skills with attention to details Excellent communications skills, self-motivated and well organized Ways to stand out from the crowd Prior software testing experience, with an understanding of Software Testing Tools and Methodologies Python or other scripting languages (such as Shell)-advantage Experience in CI methodology & servers (e.g. Gerrit, Jenkins etc.) Knowledge of NVIDIA DPU products Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're creative, self-motivated and enjoy having fun, then what are you waiting for? Apply today! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Pune · Full time

Line of Service Advisory Industry/Sector FS X-Sector Specialism Operations Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small- and large-scale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to help clients achieve operational efficiencies and reduce costs. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Summary: We are seeking a passionate and skilled AI Engineer with 3–7 years of experience, including a minimum of 2 years in Generative AI (GenAI), to join our AI/ML team. The AI Engineer will play a key role in building and deploying advanced AI solutions leveraging Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), multi-agent frameworks, and state-of-the-art tooling. Responsibilities: Design, develop, and deploy GenAI solutions, with a focus on real-world production readiness. Build and scale Retrieval-Augmented Generation (RAG) systems for enterprise use cases. Integrate with graph-based memory and tool-using agents to enhance LLM capabilities. Implement multi-agent orchestration and reasoning systems (e.g., AutoGen, LangGraph, custom agents). Use LLM frameworks and libraries (e.g., LangChain, AutoGen, LangGraph etc.). Write clean, efficient, and scalable code in Python (or other languages as needed). Collaborate across cross-functional teams to translate business needs into scalable GenAI-powered systems. Ensure system scalability, reliability, and maintainability through strong software engineering practices. Mandatory skill sets: 3–7 years of total experience in AI/ML or software engineering. Minimum 2 years of hands-on experience in building and deploying GenAI systems. Experience in working with LLMs such as GPT-4, Claude 2/Gemini, etc. Strong hands-on knowledge of RAG systems and multi agent frameworks like LangGraph, LangChain, or AutoGen.. Proficiency in Python and familiarity with cloud-native deployments (e.g., APIs, containers, microservices). Solid understanding of software engineering best practices, including version control, testing, and CI/CD. Experience in working with graph-based memory and LLM tool use patterns. Preferred skill sets: Experience with tool-using agents, memory-augmented architectures, or cognitive architectures. Prior contributions to open-source GenAI or agent frameworks. Familiarity with Azure OpenAI, AWS Bedrock, or other cloud-based LLM services. Background in optimization, evaluation, and prompt engineering for LLM systems. Experience in deploying AI systems in production environments and maintaining performance at scale Years of experience required: 3+ to 7 Location : Pan India Education qualification: Bachelor’s degree in Computer Science, Engineering, or a related field Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Agentic AI, Generative AI Agents Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, AI Fluency, AI-Human Collaboration, Analytical Thinking, Automation Algorithms, Automation Engineering, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation Studio, Automation System Efficiency, Blue Prism, Business Analysis, Business Performance Management, Business Process Analysis, Business Process Automation (BPA), Business Transformation, Business Value Optimization, C++ Programming Language, Cognitive Automation, Communication, Conducting Discovery {+ 39 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date July 26, 2026

Bengaluru Millenia · Full time

Line of Service Advisory Industry/Sector FS X-Sector Specialism Operations Management Level Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small- and large-scale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to help clients achieve operational efficiencies and reduce costs. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Summary: We are seeking a passionate and skilled AI Engineer with 3–7 years of experience, including a minimum of 2 years in Generative AI (GenAI), to join our AI/ML team. The AI Engineer will play a key role in building and deploying advanced AI solutions leveraging Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), multi-agent frameworks, and state-of-the-art tooling. Responsibilities: Design, develop, and deploy GenAI solutions, with a focus on real-world production readiness. Build and scale Retrieval-Augmented Generation (RAG) systems for enterprise use cases. Integrate with graph-based memory and tool-using agents to enhance LLM capabilities. Implement multi-agent orchestration and reasoning systems (e.g., AutoGen, LangGraph, custom agents). Use LLM frameworks and libraries (e.g., LangChain, AutoGen, LangGraph etc.). Write clean, efficient, and scalable code in Python (or other languages as needed). Collaborate across cross-functional teams to translate business needs into scalable GenAI-powered systems. Ensure system scalability, reliability, and maintainability through strong software engineering practices. Mandatory skill sets: 3–7 years of total experience in AI/ML or software engineering. Minimum 2 years of hands-on experience in building and deploying GenAI systems. Experience in working with LLMs such as GPT-4, Claude 2/Gemini, etc. Strong hands-on knowledge of RAG systems and multi agent frameworks like LangGraph, LangChain, or AutoGen.. Proficiency in Python and familiarity with cloud-native deployments (e.g., APIs, containers, microservices). Solid understanding of software engineering best practices, including version control, testing, and CI/CD. Experience in working with graph-based memory and LLM tool use patterns. Preferred skill sets: Experience with tool-using agents, memory-augmented architectures, or cognitive architectures. Prior contributions to open-source GenAI or agent frameworks. Familiarity with Azure OpenAI, AWS Bedrock, or other cloud-based LLM services. Background in optimization, evaluation, and prompt engineering for LLM systems. Experience in deploying AI systems in production environments and maintaining performance at scale Years of experience required: 3+ to 7 Location : Pan India Education qualification: Bachelor’s degree in Computer Science, Engineering, or a related field Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, MBA (Master of Business Administration), Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Agentic AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, AI Fluency, AI-Human Collaboration, Automation Algorithms, Automation Engineering, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation Studio, Automation System Efficiency, Blue Prism, Business Analysis, Business Performance Management, Business Process Analysis, Business Process Automation (BPA), Business Transformation, Business Value Optimization, C++ Programming Language, Cognitive Automation, Communication, Conducting Discovery, Configuration Management (CM) {+ 34 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date September 15, 2026

Bangalore, India

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100 trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Software Engineer on GitLab's Authorization team, you'll help build and maintain the system that decides what every user, token, and automated agent can access on GitLab.com, Self-Managed, and Dedicated. You'll work alongside experienced engineers who guide the larger design decisions, delivering well-scoped changes and growing into ownership of larger parts of the system. Today, that work is Ruby on Rails. Roughly 400 policy classes and a catalog of about 1,900 permissions sit behind every application programming interface (API) request. You'll work on fine-grained token permissions, custom roles, and the GraphQL and representational state transfer (REST) APIs that enforce them. A single request can trigger hundreds of permission checks, so correctness and performance both matter. You'll also contribute to moving the permission model to a new authorization stack that pairs the Rails monolith with a Rust policy engine. The engine represents access relationships and evaluates permission rules, and can run within the monolith's process or be reached through remote procedure calls using gRPC. You don't need prior Rust experience: several engineers on the team learned it for this work, and we'll support you doing the same. Some examples of our projects: Refactoring GitLab's policy layer so the same permission definitions can be evaluated by the monolith and the new authorization service Extending fine-grained token permissions to more resources, with guidance from senior engineers on the design What you'll do Implement authorization changes in GitLab's Ruby on Rails monolith so permission checks allow intended access and deny unauthorized access. Deliver well-scoped workstreams from feature-flagged rollout through verifying that the old and new systems produce the same results, with review and guidance from senior engineers. Build and extend fine-grained permissions for tokens and roles so additional resources have permission coverage consistent with the established catalog. Extend and fix authorization enforcement so GraphQL and the REST API enforce the intended permissions consistently. Make incremental refactors to long-lived policy code without changing behavior for existing customers. Investigate and fix reliability, performance, and security issues so affected permission checks return the expected results without regressions. Work with the authentication, platform, and artificial intelligence (AI) teams to document interface contracts that keep permission checks consistent as authorization moves toward a shared service. Contribute to design documents, merge requests, and code reviews so proposed changes have a documented rationale and review feedback is addressed asynchronously. What you'll bring Solid experience building and maintaining production Ruby on Rails applications, typically gained over 2 to 4 years or more. Hands-on experience with authorization concepts, such as role-based access control or fine-grained permissions, from work or projects. A security mindset: you treat a permission bug as a security bug and consider who a change could affect before choosing an implementation. Experience making careful changes to existing codebases, including incremental refactors and feature-flagged rollouts that preserve existing behavior. Familiarity with GraphQL or API authorization patterns. Awareness of performance, including how repeated permission checks can add up on every request. Strong written communication and the ability to work effectively when most decisions happen in a document or merge request rather than a meeting. Helpful, but not required: hands-on PostgreSQL experience, or experience with Rust, gRPC or Protocol Buffers, Cedar or other policy languages, Zanzibar-style authorization systems, Go, or service-oriented architecture. We welcome transferable experience from adjacent domains such as identity, policy engines, and platform security. About the team We work in a fully asynchronous organization, with most decisions made in documents or merge requests rather than meetings. GitLab's mission is to enable everyone to contribute to and co-create the software that powers our world. Our values include collaboration, results, efficiency, diversity, inclusion and belonging, iteration, and transparency. We expect all GitLab team members to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Bangalore, India

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100 trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an Threat Research Engineer at GitLab, you'll research emerging security threats and turn your findings into protection for GitLab customers. You'll investigate new attack surfaces, including AI coding agents, agent plugins, and package ecosystems, and build systems that help detect threats and improve vulnerability advisories. This is a full-stack role: you'll take an idea from the first research question to a working proof of concept, deploy it, and analyze the results yourself. Artificial intelligence (AI) is central to how we work. You'll use AI tools daily and build agentic workflows for research, analysis, and detection. What you'll do Research new attack surfaces and threat vectors, including AI coding agents, agent plugins, and package ecosystems. Find and responsibly disclose vulnerabilities in open source projects and developer tools. Analyze software supply chain incidents and events. Build AI-powered workflows and agents that automate research, analysis, and detection. Build and maintain the cloud-based systems behind our detection and advisory work. Improve the quality and coverage of our vulnerability and malware advisories. Write up your findings as blog posts and present them at conferences. What you'll bring Hands-on security experience in research, malware analysis, penetration testing, or security tooling, with an understanding of package ecosystems and software supply chain attacks. Both a developer mindset and an adversarial mindset: you can build systems and think about how to break them. Demonstrated experience using AI in real work, such as building with large language model (LLM) application programming interfaces (APIs) or agent frameworks like LangChain, LangGraph, or agent software development kits (SDKs). Strong programming skills in Go or Python, with good software engineering practices, including testing, code review, continuous integration and continuous delivery (CI/CD), and writing maintainable code. Experience deploying and running production services on a public cloud. The ability to map attack vectors, explain trade-offs, and use data to move experiments forward, balancing quality, speed, and customer outcomes. Clear writing for engineers and a general audience, and keeping up with security and AI industry trends. Helpful, but not required: Google Cloud Platform (GCP); Common Vulnerabilities and Exposures (CVE) entries or published findings; research on AI agents, LLM applications, or Model Context Protocol (MCP) servers; blogs, talks, or open source security tools; Terraform or OpenTofu; databases or data pipelines at scale; reverse engineering. You don't need deep knowledge of compilers or static application security testing (SAST) engines. A high-level understanding is enough. About the team We're the Threat Research group. We maintain the GitLab Advisory Database, which powers GitLab's dependency scanning, and publish our findings on the Security Labs blog. Our work includes research on the Shai-Hulud npm worm and a critical remote code execution (RCE) vulnerability in Serena, a popular MCP coding agent. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Bangalore, IND

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Software Development Engineer to join our team. This is a hybrid role based in Hyderabad, reporting to the Senior Director of Software Engineering in the Engineering department. You will join the Engineering team that built the world’s largest cloud security platform from the ground up. As a leader in our multitenant architecture, you will bring your vision and passion to help organizations worldwide harness speed and agility with a cloud-first strategy. What you’ll do (Role Expectations) Understand how to build and operate high scale systems Provide service and product wide architectural guidance, and drive impactful technical decisions Establish and enforce best practices for coding, testing, observability, and CI/CD pipelines to maintain high-quality, production-ready services Drive cross-team collaboration and lead initiatives in performance optimization, reliability improvements, and adoption of new technologies/tools to accelerate feature velocity Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We’re Looking for (Minimum Qualifications) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain Sound CI/CD based development, integration and deployment experience 6+ years of experience in Java/Go coding in a highly distributed and enterprise-scale environment after completion of Bachelor's degree in computer science or equivalent experience Working knowledge of cloud infrastructure services working in Kubernetes, web service frameworks, and streaming data infrastructure like Apache Spark, Kafka, Druid, or ElasticSearch Strong experience with distributed systems and microservices architecture, design pattern What Will Make You Stand Out (Preferred Qualifications) Experience integrating AI/ML frameworks or intelligent data path analysis models to optimize kernel-level networking performance and automate predictive threat detection Experience building reliable data tiers using Postgres, Redis, Terraform, Ansible, graph databases like Neo4j or AWS Neptune, and developing GraphQL APIs Deep knowledge of identity and access management systems (Okta, SAML, OAuth), test automation, Python programming, and designing fault-tolerant distributed systems for networking or cloud security products #LI-Hybrid #LI-AN4 At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here . By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

Bangalore, IND

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for an experienced Senior Software Engineer, Salesforce engineer to join our IT Business Applications team, reporting to the Senior Manager, Application Engineering. You will use a powerful mix of programmatic and declarative skills to extend and customize applications on the Salesforce Platform. You will also document requirements and provide guidance to other developers in the team for execution. What you’ll do (Role Expectations) Extend and customize applications on the Salesforce Platform using a powerful mix of programmatic and declarative skills Document functional requirements and provide technical guidance to other developers in the team to ensure high-quality execution Make critical architectural tradeoffs to provide robust software solutions that achieve measurable business results Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We’re Looking for (Minimum Qualifications) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience with Salesforce development Hands-on experience in several mid-size enterprise, global implementations of Salesforce Experience with Sales Cloud, Sales processes and Integrations Proficiency in Apex, Visualforce, Lightning Components, and declarative development Experience making architectural tradeoffs required to provide software solutions and achieve results What Will Make You Stand Out (Preferred Qualifications) Demonstrate a proven ability to leverage AI technologies and workflows to drive measurable operational efficiency. Hands-on development of custom solutions on the force.com platform including application integration patterns Experience overseeing the development of requirements, specifications, process flows, application design, configuration, and testing #LI-Hybrid #LI-NT1 At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here . By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.