Senior Software Engineer, Backend - Optimize and Analytics Integration
Camunda
About the role
About the position
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.
Responsibilities • 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.
Requirements • 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.
Benefits • We offer competitive, fair, and transparent compensation. • We also offer equity (where applicable) through our Virtual Stock Option Plan (VSOP). • We invest in your wellbeing, growth, and ability to connect, along with perks that support you no matter where you’re based. • Remote & Flexible: Work from anywhere with the setup that suits you, home office budget, co-working space support, and flexible time off to recharge when you need it. • In Person Connection: We invest in meaningful face time through our Annual Kickoff (Vienna in 2025, Madrid in 2026!), team offsites, and Camundi Connection Budgets, including contributing to meetups while travelling,, and local gatherings with fellow Camundi. • Health & Wellbeing: Access locally tailored healthcare, Modern Health for global mental wellbeing, and our Live Well Lifestyle Spending Account (LSA), a flexible, global benefit that puts you in control of your whole life, not just work, from: staying active, to caring for family, exploring personal passions, meaningful experiences, and investing in your financial wellbeing. The Live Well program launches in 2026 and scales to €1,000 annually from 2027. • Financial Security: Retirement and pension plans (often with company contributions), plus life and disability insurance where relevant. • Professional Growth: Up to \$/€/£1,000 per year for self-driven learning: courses, certifications, books, you decide!
Requirements
- 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
Responsibilities
- 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.
Benefits
Skills
Don't send a generic resume
Paste this job description into Mimi and get a resume tailored to exactly what the hiring team is looking for.
Get started free