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Tier-1 brand and metro location increase competition, but niche distributed-systems specialization reduces applicant density.
Backend distributed-systems skills transfer across industries, though finance risk domain knowledge moderately matters.
Explicit 7+ years plus mandatory Java, distributed systems, cloud, and containerization create rigid screening.
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Design, build, and maintain the large-scale distributed XiP calculation platform managing 1.5 billion daily risk & suitability calculations.
Lead design and implementation of performance, scalability, and feature enhancements for Citi's Risk Calculation Engine with high resource utilization and throughput.
Collaborate within Agile/Scrum teams and coordinate strategic initiatives to scale the calculation engine aligned with customer needs.
7+ years of professional Java development experience with frameworks such as Spring, Spring Boot, or Quarkus.
Experience designing, building, and maintaining large-scale distributed systems and RESTful APIs.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Exposure to cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
Experienced in performance optimization and scaling of high-throughput calculation engines or distributed systems.
Proficient in Agile/Scrum development environments with knowledge of CI/CD and DevOps practices.
Capable of leading technical design and strategic development initiatives in complex, resource-intensive platforms.