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Tier-1 brand, metro location, and common Java/backend title increase competition.
Senior distributed-systems backend expertise is domain-specific, reducing cross-industry transferability.
Explicit 11+ years, mandatory Java and distributed-systems experience make shortlisting highly selective.
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Design, build, and maintain the XiP platform's large-scale distributed risk calculation engine handling 1.5 billion calculations daily.
Lead enhancements and optimizations to the engine’s distribution mechanisms to improve performance, scalability, and throughput for complex parallelization.
Plan and execute strategic scaling initiatives aligned with business needs, collaborating with software engineers, DevOps, and stakeholders.
Minimum 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.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Proven expertise in highly performant, large-scale distributed systems with experience handling complex parallel computation.
Experienced in cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
Familiar with Agile/Scrum environments and implementing CI/CD pipelines with DevOps practices.