About the Role:
As a Senior Software Engineer, Backend on Camunda’s Distributed Systems team, you’ll help build and evolve the durable, highly available, horizontally scalable streaming platform that underpins Camunda 8’s Orchestration Cluster and powers mission‑critical processes for customers around the world.
As part of the Distributed Systems team, you will work on technically challenging and rewarding projects, such as expanding on our multi-Raft implementation, our SWIM-based cluster membership algorithm, or high performance network and disk I/O pipelines.
What You Will Do:
- Design, build, and maintain backend services for the distributed streaming platform that powers the foundation for Camunda 8’s orchestration capabilities, ensuring durability, high availability, and horizontal scalability.
- Lead medium‑to‑large engineering initiatives (3+ months) end‑to‑end: partner with Product to translate business problems into technical requirements, write solution designs, draft and maintain project plans, and drive timely, high‑quality delivery.
- Help mature our disaster recovery and resilience story, including implementing and evolving an online backup/restore API and contributing to improved multi‑region and multi‑tenant capabilities for our cloud offering.
- Design and implement developer and operator tooling that makes it easier to understand, troubleshoot, and safely operate a complex distributed system in production environments.
- Improve engineering effectiveness by collaborating with DevOps and other Core Application teams on CI, testing, and local development workflows to reduce PR time‑to‑merge and the overhead of working on multiple features in parallel.
- Participate in L3 support and on‑call rotations, partnering closely with Support and SRE to investigate and resolve complex, performance‑sensitive production issues.
What You Will Bring to the Role:
Must Haves:
- 7+ years of professional experience as a software engineer, with a strong focus on backend systems and/or distributed systems.
- Proven experience leading medium‑to‑large engineering initiatives.
- Hands‑on experience building and maintaining highly concurrent, data‑intensive software, with a deep understanding of low‑level network and disk I/O.
- Demonstrated ability to work autonomously and navigate ambiguity.
Nice to Haves:
- Experience building workflow automation or process orchestration software.
- Experience with distributed systems algorithms or protocols such as Raft, Paxos, SWIM, and/or CRDTs.
- Strong familiarity with the observability pillars (logging, metrics, tracing).
- Deep knowledge of the Java Virtual Machine, especially its memory model and performance characteristics.