Software Engineer 3, Data Pipeline
MongoDBThis role involves building and operating a data pipeline platform, combining software development with site reliability engineering. Responsibilities include writing backend code, improving system reliability, and troubleshooting production issues. The position requires experience with streaming platforms, compiled backend languages, and distributed systems management on Kubernetes.
About the role
We're looking for a Software Engineer 3 to help build and operate this platform. This is an individual contributor role that combines hands-on software development with systems and site reliability engineering. You'll contribute code and ship backend improvements, while also troubleshooting production issues and helping keep the services reliable.
If you enjoy both building distributed systems and understanding how they behave in production, this role offers the opportunity to work on high-volume telemetry processing with meaningful operational responsibility. You'll contribute to medium-sized technical projects and grow with support from experienced engineers.
We are looking to speak to candidates based in Dublin for our hybrid working model.
We're looking for someone who
- Enjoys working with other engineers, is approachable and curious, and is open to feedback
- Has experience with Kafka-compatible streaming platforms, Apache Flink, or comparable stream-processing technologies
- Has experience writing production backend systems in a compiled language, such as Java, Go, C, or C++
- Has experience designing and developing scalable distributed services, with an understanding of performance, availability, and failure handling
- Has worked with event-driven systems, ingestion pipelines, or high-throughput data processing
- Has hands-on experience managing the development and release lifecycle on Kubernetes clusters using GitOps tools such as Argo CD or Flux
- Has hands-on experience applying a data-driven approach to debugging and troubleshooting production systems using tools such as profilers and flame graphs to collect evidence
- Is comfortable being part of 24/7 on-call rotations
- Can explain their own technical contributions, the trade-offs they made, and the evidence used to evaluate results
- Has a strong understanding of algorithms, data structures, and time and space complexity
Nice to haves
- Experience with telemetry, metrics, logs, or observability infrastructure
- Experience using service-level indicators, objectives, or agreements to guide reliability improvements
- Experience improving monitoring, alerting, incident response, or operational automation
Role responsibilities
- Design, write, test and maintain backend code and features for the Data Pipeline platform
- Contribute to and lead medium-sized technical projects through production delivery
- Help improve the scalability, availability, and reliability of telemetry ingestion, transformation, and delivery to downstream storage
- Investigate production issues using metrics, logs, and other evidence, and contribute to fixes and preventative improvements
- Participate in the team's on-call rotation and support customer escalations with support engineers and teammates
- Be customer-driven by collaborating with the sister teams and customers to improve the Observability user experience
- Contribute to technical discussions, code reviews, coding best practices, and operational improvements
Success measures
- In 1 month, you'll be familiar with the systems the Data Pipeline team owns, the telemetry flow and the team's development practices, and you'll have completed minor codebase tasks
- In 3 months, you'll be contributing to the design and development of team projects and shipping changes regularly
- In 6 months, you'll be taking on small and medium-sized projects, contributing actively to technical discussions, proactively improving the platform, supporting customer escalations, and participating in the on-call rotation
Req ID: 1273361971
Unlock the full job description
Create a free account to read every duty and requirement, and to contact the employer directly.

