Jeetu Kumar

Results-driven Software Engineer with 4+ years of experience designing and delivering high-scale Java / Spring Boot microservices, secure REST APIs, and cloud-automated backend systems. Currently deployed as a Software Consultant via Capgemini on the Goldman Sachs technology account, contributing to enterprise-grade banking systems that demand high reliability, security, and regulatory compliance. Proven track record of cutting latency, automating CI/CD pipelines, and driving 99.99% uptime through strong DevOps and cloud practices across AWS, Azure, Snowflake, and Terraform.

Recognized for mentoring engineers, improving system observability, and translating complex business requirements into scalable technical solutions in Agile environments.

Software Consultant at Goldman Sachs (via Capgemini) (2026-06 – Present)

• Design and develop backend software solutions for a global banking client, adhering to strict enterprise security, performance, and regulatory compliance standards.
• Contribute across the full project lifecycle — requirement analysis, coding, code review, testing, and production deployment — within an Agile delivery model.
• Collaborate directly with Goldman Sachs business and engineering stakeholders to translate complex financial workflows into robust, scalable technical solutions.
• Work extensively with Java, Spring Boot, Microservices, and Cloud/DevOps tooling to build and maintain mission-critical banking applications.
• Proactively troubleshoot production issues, perform root-cause analysis, and recommend performance and reliability improvements for high-availability systems.

Technical Lead at Comviva Technologies (2022-03 – 2026-05)

• Delivered 10+ Spring Boot microservices handling 2M+ API calls/week; reduced latency by 40% through Redis caching, N+1 query fixes, and multi-threaded concurrency optimizations.
• Designed and built Splunk/CloudWatch monitoring dashboards, cutting incident triage time by 50% and significantly improving Mean-Time-To-Resolution (MTTR).
• Automated end-to-end CI/CD pipelines using Jenkins and Kubernetes for 3x faster releases with zero manual errors; containerized microservices with Docker for consistent environments across dev, staging, and production.
• Mentored a team of 3 junior engineers (cut ramp-up time 25%) and resolved 20+ critical production defects, improving customer satisfaction scores by 18%.
• Raised automated test coverage to 92% using JUnit and Mockito, reducing production bugs by 30%.
• Implemented Apache Kafka for event-driven order processing, enabling reliable asynchronous communication and faster workflow execution.
• Leveraged SQL and MongoDB in Order Management systems for transaction workflows and Customer Journey analytics for profile and activity tracking.

Apprentice (On-Job Training) at Bharat Petroleum Corporation Limited (BPCL) (2021-03 – 2022-03)

• Completed a 1-year on-job training program with hands-on exposure to enterprise-grade backend systems and the full SDLC; introduced structured error logging and diagnostics, improving debug turnaround by 40% and reducing downtime.

B.Tech in Electrical Engineering – AKTU Lucknow (2020-08)