Open to opportunities

R User

@ruser8

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Senior software engineer building cloud-native Java backends and GenAI agents.

India

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What I'm looking for

I’m looking for a team where I can own cloud-native backend delivery, improve API performance and reliability, and apply GenAI/agentic tooling safely—shipping fast without sacrificing security, testing, or maintainable microservice architecture.

I’m a Senior Software Engineer with 7 years of experience building cloud-native backend systems, REST APIs, and event-driven microservices using Java, Spring Boot, and GCP. I hold 4 active Google Cloud certifications, including Professional Cloud Architect and Professional Cloud Developer, and I use AI coding tools like Claude Code, GitHub Copilot, and Gemini to deliver production-quality software at high velocity.

I’ve independently shipped two open-source projects and multiple commercial APIs as a solo developer, translating requirements into secure, scalable services. From refactoring monoliths into microservices to integrating automated security scanning and penetration testing into CI/CD, I focus on reliability, performance, and maintainability while collaborating comfortably in distributed, self-directed environments.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

Deloitte

Feb 2022 - Present (4 years 1 month)

Designed and delivered high-performance REST APIs for data search and retrieval across Banking and Media, reducing API response times by 40% under concurrent production load. Refactored legacy Java monoliths into distributed microservices and integrated security scanning into CI/CD to achieve zero critical vulnerabilities.

Java Spring Boot REST APIs Microservices Apache Kafka GKE CI CD Penetration Testing OWASP

System Engineer

Tata Consultancy Services

Apr 2019 - Feb 2022 (2 years 10 months)

Architected and developed backend services for Telecom and Media clients, building high-availability solutions processing thousands of transactions per hour. Optimized low-latency microservices to reduce response times by 35%, owned zero-downtime deployments via Jenkins CI/CD, and reduced recurring production incidents by 25%.