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Tier-1 employer, metro location, and popular Java backend role raise competition to medium.
Core Java, distributed systems, and Kubernetes skills transfer across industries, but finance domain specifics increase sensitivity moderately.
Explicit 11+ years and required distributed systems and Java expertise make filtering strict.
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Lead design, development, and enhancement of the XiP platform's Risk Calculation Engine, responsible for managing 1.5 billion risk calculations daily.
Optimize performance, resource utilization, and scalability of a large-scale distributed system operating hundreds of thousands of pods and compute cores.
Collaborate with engineers, DevOps, and customers to ensure reliable, secure, and scalable platform operations and plan strategic scaling initiatives.
11+ years professional experience in Java software development.
Experience with Java frameworks such as Spring, Spring Boot, or Quarkus.
Experience designing, building, and maintaining large-scale distributed systems, including cloud (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
Bachelor's or Master’s degree in Computer Science, Engineering, or related field.
Experienced in managing high-performance, large-scale distributed calculation platforms with significant compute and memory resources.
Skilled in optimizing parallelization and resource efficiency at scale (millions of calculations, thousands of compute cores).
Familiar with Agile/Scrum environments and working collaboratively in technical teams driving strategic platform enhancements.