Job Summary
JD for Backend java engineer with CDS - Real-time, Low-latency data engineering
Backend Java Engineer – CDS, Real-Time & Low-Latency Data Engineering
Role Overview
We are seeking a Backend Java Engineer with strong expertise in CDS and real-time, low-latency data engineering. The role will design, build, and optimize resilient backend services and event-driven data pipelines that process high-volume data with predictable latency, high availability, and strong operational controls. The engineer will collaborate with architecture, platform, product, quality, and operations teams to deliver production-grade streaming solutions.
Qualifications & Experience
- Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related discipline, or equivalent practical experience.
- Typically 4–8 years of backend software-engineering experience, including substantial work on real-time or distributed data platforms.
- Demonstrated ownership of production services from design and implementation through deployment, monitoring, and incident resolution.
- Strong analytical, problem-solving, communication, and cross-functional collaboration skills.
- Ability to translate business and non-functional requirements into secure, maintainable technical solutions.
Success Measures
- Streaming services consistently meet agreed latency, throughput, availability, and recovery objectives.
- Data pipelines maintain accuracy, ordering, resilience, observability, and operational supportability.
- Engineering changes are delivered with strong automated test coverage, secure controls, and minimal production defects.
- Operational issues are diagnosed quickly, with root causes addressed through sustainable engineering improvements.
Key Responsibilities
Backend Java Engineer – CDS, Real-Time & Low-Latency Data Engineering
Role Overview
We are seeking a Backend Java Engineer with strong expertise in CDS and real-time, low-latency data engineering. The role will design, build, and optimize resilient backend services and event-driven data pipelines that process high-volume data with predictable latency, high availability, and strong operational controls. The engineer will collaborate with architecture, platform, product, quality, and operations teams to deliver production-grade streaming solutions.
Qualifications & Experience
- Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related discipline, or equivalent practical experience.
- Typically 4–8 years of backend software-engineering experience, including substantial work on real-time or distributed data platforms.
- Demonstrated ownership of production services from design and implementation through deployment, monitoring, and incident resolution.
- Strong analytical, problem-solving, communication, and cross-functional collaboration skills.
- Ability to translate business and non-functional requirements into secure, maintainable technical solutions.
Success Measures
- Streaming services consistently meet agreed latency, throughput, availability, and recovery objectives.
- Data pipelines maintain accuracy, ordering, resilience, observability, and operational supportability.
- Engineering changes are delivered with strong automated test coverage, secure controls, and minimal production defects.
- Operational issues are diagnosed quickly, with root causes addressed through sustainable engineering improvements.