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Tier-1 brand, common Java backend title, and metro hybrid role increase applicant competition.
Distributed systems skills are transferable, but financial risk platform experience increases domain specificity.
Explicit 11+ years plus mandatory Java, distributed systems, cloud, and Kubernetes skills make shortlisting strict.
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Design, build, and maintain the XiNG large-scale distributed calculation platform managing 1.5 billion daily risk & suitability calculations at Citi.
Lead enhancements and optimization of the Risk Calculation Engine’s distribution mechanisms to improve scalability, performance, and resource utilization.
Plan and coordinate strategic scaling initiatives in collaboration with stakeholders to support future business demands.
11+ years of professional software development experience with Java.
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.
Experienced in working on highly performant, rapidly changing large-scale cloud-based distributed platforms.
Comfortable in Agile/Scrum environments with collaborative and technical leadership in software development.
Skilled in optimizing distributed calculation engines with strong focus on scalability, resource management, and system throughput.