Headline

Backend Engineer | Java · Spring Boot · Microservices · REST APIs · MySQL | Distributed Systems | 4.5 YOE | Flipkart · Oracle Cerner | Immediate Joiner

About

I build backend systems that don't break under pressure. At Flipkart, I work on high-scale, event-driven infrastructure handling 80K+ events/day — designed a Kafka dead-letter queue with Redis-backed idempotency, built a runtime rule engine that cut change turnaround from 2-week sprints to same-day, and slashed deployment time from 3 hours to 30 minutes across 18 microservices. What I do: → Design and ship scalable backend services using Java, Spring Boot, and Microservices → Build event-driven pipelines (Kafka, Redis) with fault tolerance and zero data loss → Optimize CI/CD pipelines (Jenkins) for high-velocity teams → Improve observability and incident response (Datadog) in production systems Past impact at Oracle Cerner (3+ years): → Designed FHIR R4-compliant microservices serving 3 clinical apps — cut malformed-request errors by 65% → Owned production reliability — reduced incident resolution from 4 hours → under 1 hour → Enforced 80%+ test coverage via GitHub Actions coverage ratchet (JUnit 5, Mockito) → Built automated PR linter across 30+ engineer codebase — saved 2 hours/week of reviewer time Tech stack: Java · Spring Boot · Apache Kafka · Redis · Microservices · REST APIs · MySQL · Jenkins · CI/CD · Datadog · JPA · JUnit 5 · System Design · Event-Driven Architecture · Docker · AWS Currently open to SDE 2 / Senior Backend Engineer roles in high-scale distributed systems or product infrastructure. Let's connect if you're building something ambitious.

Location

Bengaluru

AI stack

claude code

claude

github copilot

openai

claudecode

ChatGPT

Work experience

Senior Software Engineer | Flipkart (via Techwise Digital) at TechWise Digital, Mar 2025 - Dec 2025 · 9 mo, Bengaluru, Karnataka, India, →Reworked Jenkins CI/CD pipelines across 18 microservices — parallelized test stages, added artifact caching, and eliminated redundant staging gates, slashing deployment time from 3 hours → 30 minutes and enabling the team to ship daily instead of weekly. →Designed and built a dead-letter queue system for Kafka-based event pipelines processing 80K+ events/day — failed events are automatically captured, retried with exponential backoff, and reprocessed without manual intervention; paired with Redis-backed idempotency keys to eliminate duplicate processing. →Built a database-driven rule engine (Spring Boot + MySQL) where business logic lives in the DB and is evaluated at runtime — adding or modifying rules no longer requires a deployment, cutting change turnaround from 2-week sprint cycles → same-day updates. →Configured Datadog log alerts for critical failure and exception patterns — reduced Mean Time to Detect (MTTD) by 50% and cut incident resolution time from 3 hours → under 45 minutes.

Software Engineer at Cerner Corporation, Apr 2021 - Nov 2024 · 3 y 7 mo, Bengaluru, Karnataka, India, →Designed and implemented FHIR R4-compliant microservices (Java, Spring Boot, JPA) serving 3 internal clinical applications — owned schema design, full CRUD, request validation with standardized OperationOutcome error responses, and API versioning; cut malformed-request errors by 65%. →Owned production reliability of FHIR API services — diagnosed and resolved critical failures, introduced structured logging with correlation IDs for cross-service observability, and reduced incident resolution time from 4 hours → under 1 hour. →Refactored Spring Boot services to clean layered architecture (controller → service → repository) with DTOs for request/response mapping and the Factory pattern for resource construction — reduced code duplication and improved extensibility without breaking existing consumers. →Wrote unit tests (JUnit 5, Mockito) for critical API paths and enforced a GitHub Actions coverage ratchet — feature branches must exceed main branch coverage, keeping test coverage consistently above 80% across all owned services. →Built an automated linter integrated into the PR workflow, enforcing formatting standards across a 30+ engineer codebase — reduced formatting violations by 70% and saved 2 hours/week of senior reviewer time. →Built a filtered event export feature (Java, Spring Boot) generating on-demand Excel reports — cut manual data extraction time by 40%, supporting 24+ daily exports across internal teams. →Mentored junior engineers through code reviews, FHIR API conventions, and architectural walkthroughs — accelerated their path to independent feature delivery and progressively took on end-to-end solo ownership of complex features.

Education

Master of Computer Applications - MCA, Computer Science, Maulana Azad National Institute of Technology

Bachelor of Computer Applications - BCA, Computer Science, Sikkim Manipal University - Distance Education

Public links

github: https://github.com/devvickykumar

leetcode: https://leetcode.com/devvickykumar