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Software Engineer 3

MongoDB· Observability, Data Pipeline team
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Hybrid (Dublin, Ireland)full-timePosted 3w ago

About the role

The Data Pipeline team builds and operates a scalable, high-availability streaming platform for telemetry data, using a diskless, Kafka-compatible bus and Apache Flink on Kubernetes. The role combines backend software development with site reliability engineering and production troubleshooting in a hybrid Dublin-based environment.

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

Qualifications

  • 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

Skills

Required:Kafka-compatible streaming platformsApache FlinkBackend development in a compiled language (Java, Go, C, or C++)Distributed systems designKubernetes + GitOps (Argo CD or Flux)Production debugging & profilingOn-call experienceCommunication of technical contributionsAlgorithms and data structures

Benefits

  • Employee benefits and culture-focused programs as described in the job posting
Last updated Oct 22, 2026. Interested? Apply on the company site.
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