Senior Software Engineer Backend

Camunda is the leader in enterprise agentic automation, orchestrating complex business processes , including high-value knowledge work, across agents, people, and systems. By creating production-ready, enterprise-grade agents with built-in governance, Camunda uniquely delivers trusted AI agents for business-critical processes. Over 700 leading innovators like Atlassian, ING, and Vodafone, rely on Camunda to slash time-to-value from months to days, boost operational efficiency, and elevate customer experiences. As a fully remote, global company, we’re rewriting the rules of modern business. Named GP Bullhound’s 2024 Top 100 Next Unicorn list, certified as a Great Place to Work , and recognized by Flexa for true flexibility , we’re growing fast and looking for top talent to join our team. If you’re excited to do meaningful work and make real impact, keep reading, this role could be the one you’ve been waiting for. About the Role: As a Senior Software Engineer, Backend at Camunda, you’ll help shape our next-generation analytics product for process orchestration—building reliable, high‑throughput SaaS capabilities that turn massive data flows into clear insights and action. You’ll work end‑to‑end across Java services and React interfaces, collaborating closely with a talented global team to measure, improve, and scale performance and fault tolerance in real-world distributed systems. If you love learning fast, experimenting thoughtfully, and making meaningful, iterative improvements every day, this role is for you. Curious about the kind of challenges you'll work on at Camunda? Watch this quick 30-minute talk from our engineers to learn more about the new Camunda Exporter and how we’re solving complex problems at scale. What You’ll Be Doing: Collaborate with reliability experts to measure, quantify, and clearly articulate the load, throughput, and performance characteristics of our analytics platform (Optimize), and translate findings into action. Propose an iterative roadmap for performance and fault‑tolerance improvements based on metrics you’ve developed and a deep understanding of the product architecture and codebase. Implement, validate, and roll out performance improvements in stages—profiling, tuning, and verifying impacts in production‑like conditions. Design and build backend APIs (Java) and frontend dashboards (React) to retrieve, aggregate, and visualize analytics data from distributed data stores. Create data exporters and connectors that enable third‑party BI tools to pull detailed analytics from multiple distributed instances, safely and efficiently. Raise the engineering bar by contributing to code quality, test automation, observability, and collaborative design reviews. What You Bring: 5+ years as a full‑stack Software Engineer with strong production experience in Java and React. Curiosity and resilience in distributed systems—eager to experiment, learn daily, and “break things on purpose” to improve robustness. Interest and practical intuition for building high‑throughput SaaS platforms that process large, continuous data volumes. Drive to design and build an enterprise‑grade analytics product—from data ingestion through aggregation to clear, insightful UIs. Pragmatic, autonomous problem‑solver focused on measurable outcomes and continuous improvement, with a keen eye on performance and fault tolerance. Willingness and ability to use Camunda products and approach reliability from a user’s perspective Ability and/or willingness to use our product Nice-to-haves: Experience with high‑throughput, low‑latency distributed SaaS products in production. Hands‑on work with distributed data stores and practical trade‑offs related to the CAP theorem. Opensearch/Elasticsearch experience including performance tuning Exposure to modern cloud operations (e.g., Kubernetes, Operators, Helm charts), including monitoring and troubleshooting in production. Experience with load testing and iterative tuning to improve reliability, throughput, and overall system performance. #LI-SG1 #LI-Remote #EMEA What We Have to Offer: Compensation We offer competitive, fair, and transparent compensation. Salary ranges are location-based, with Standard and Major markets (global tech hubs) reflecting local competition. The Annual Total Target Cash (base salary + 100% variable target, where applicable) shown below spans from the minimum in a Standard market to the maximum in a Major market. Final offers depend on skills , experience , and location , and we typically hire in the first half of the range to allow room for growth: United States: $$119,900 to $193,200 Germany: €77,400to €128,100 United Kingdom:£75,300 to £123,800 Singapore: S$148,900 to S$223,300 If you’re based elsewhere, you’ll be hired via Remote.com (our global employer partner), and your Talent Acquisition Partner will provide a personalized Total Rewards Calculator after your first interview.