Sr. Software Engineer, DAPII

Join the Future of Security at Netskope

Netskope Cloud Data Plane engineers architect and design one of the most scalable, high-performance cloud data planes in the world, processing 10+ Gbps of traffic, performing deep inspection using state-of-the-art techniques like AI/ML to detect activities and apply advanced policies like DLP, Threat and UEBA protection, all at line rate.

Key Responsibilities

• Design, develop, and analyze features for the cloud data plane.
• Utilize advanced data structures and algorithms in C, C++, Go and Python to optimize performance.
• Perform real-time content analysis to ensure robust security measures.
• Conduct deep inspection of traffic to detect and mitigate threats in near real-time.
• Develop and implement DLP and threat protection solutions.
• Create sophisticated key management algorithms to enhance data security.
• Write and maintain product or system development code, ensuring high standards of quality.
• Write 100% of code, unit tests, and test automation using AI coding tools (e.g., Claude Code, GitHub Copilot, Cursor, or similar), driving measurable gains in velocity, coverage, and quality.
• Use AI tools efficiently across the entire SDLC — requirements refinement, design exploration, implementation, debugging, code review, test generation, documentation, and CI/CD automation.
• Critically evaluate AI-generated code and tests for correctness, security, performance, and maintainability, upholding the same quality bar as hand-written code.
• Continuously evaluate emerging AI tools and agentic workflows, and drive their adoption across the team to improve engineering productivity.
• Develop and maintain comprehensive documentation for software design, implementation, and processes.
• Build and maintain services capable of inspecting various network protocols, such as HTTP, at line rate.
• Review and provide feedback on code developed by other team members to ensure adherence to best practices, including style guidelines, code accuracy, testability, and efficiency.
• Contribute to the architecture and design of distributed systems, focusing on scalability, reliability, and efficiency.
• Through understanding of the SDLC process.
• Collaborate with cross-functional teams, including software engineers, system architects, and product managers, to deliver high-quality software solutions.

Required skills and experience

• 7-10 years of industry experience building high-performance data plane services.
• AI-native developer: proven track record of writing 100% of production code, unit tests (UT), and automation using AI tools — hands-on expertise with AI coding agents and assistants such as Claude Code, GitHub Copilot, Cursor, or similar.
• Well-versed with the AI tooling landscape and its efficient usage across the SDLC — effective prompting and context management, agentic workflows, AI-assisted debugging, code review, and test generation.
• Ability to validate AI-generated output for correctness, security, and performance — essential when building a security product.
• Proven expertise in network and web security technologies (firewalls, web security, IDP/IPS, DNS-based security, etc.).
• In-depth knowledge of IP, TCP, TLS, HTTP and Web Socket  protocols is essential.
• Significant experience with HTTP Proxy.
• In-depth knowledge of tunnelling protocols like GRE, IPSec, SSL, VxLAN is essential.
• Programming mastery in C/C++, Go and Python.
• Strong expertise in RESTful Web Service, Data Yang Modelling.
• Expertise in message protocols like KAFKA, NATS, gRPC etc.
• Expertise in capturing the packets using Wireshark, tcpdump etc. and analyzing the packets captured.
• Strong expertise in cloud technologies like Docker, Kubernetes, Helm etc.
• Strong understanding of computer architecture, including multi-threading, CPU scheduling, and memory management.
• Advanced understanding of algorithms and data structures for real-time in-line data processing.
• Extensive knowledge of Linux at a systems level.
• Exceptional analytical and troubleshooting skills, proficient in using debuggers like gdb and tools like Valgrind.
• Advocate of Test-Driven Development (TDD), with comprehensive knowledge of various unit testing frameworks.
• Demonstrated ability to lead and mentor engineering teams, providing technical guidance and fostering a culture of continuous improvement.
• Experience with performance optimization and scalability of complex systems.
• Excellent communication and collaboration skills, capable of working effectively with cross-functional teams and stakeholders.

Education

• BSCS or equivalent required, MSCS or equivalent strongly preferred