Staff Principal Backend JVM Engineer for Streaming Analytics
Opportunity Summary
This staff or principal role supports a data analytics product for industrial process time-series. The platform includes a calculation engine executing advanced math and machine learning over streaming data, and it also leverages generative AI to improve usability. Engineers contribute to backend services, including JVM-based components with Postgres persistence, and also collaborate on full-stack work in some tracks using React and AI technologies. The environment is remote-friendly with a strong culture of shipping hard problems that matter to customers.
Ideal Candidate
A principal or staff-level engineer who has built JVM services with strong database fundamentals and has experience with analytics or streaming systems. You can lead technical direction while still delivering production-grade code.
Project Insights
- Calculation engines require careful attention to correctness and performance
- Remote-first teams often value clear written communication and ownership
- AI usability improvements should be grounded in measurable user outcomes
How to Prepare
- Prepare examples of backend architecture decisions and their measurable outcomes
- Discuss Postgres schema and query tuning you have performed
- If applying full-stack tracks, bring React experience tied to real product delivery
Typical Challenges
- Building performant services around streaming time-series workloads
- Designing data models and queries for analytics and calculation correctness
- Integrating AI features without breaking latency or reliability
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Project Details
Skills & Requirements
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