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Suhas Anindith Nama

Software Engineer • New York, NY, USA • s*********@gmail.com • +18******031

Professional Summary

Software Engineer with 3+ years building scalable backend and full‑stack systems using Java, Node.js, Go, React and cloud-native tooling. Experienced delivering microservices-based APIs, improving production reliability, and implementing CI/CD and infrastructure-as-code for SaaS-grade deployments. Strong collaborator with product and cross-functional teams to deliver high-throughput services and measurable performance improvements in Agile environments.

Technical Skills

Programming Languages: Java,JavaScript,TypeScript,Go,Python
Web Technologies: CSS
Frameworks and Libraries: Spring Boot,Node.js,gRPC,Microservices Architecture,React,Redux
Databases: PostgreSQL,MongoDB,MySQL,Redis
Cloud and DevOps: AWS,Docker,Kubernetes,Terraform,Jenkins,GitHub Actions
Testing: JUnit
Tools and Methodologies: Git

Work Experience

Freelance
Full-Stack Software Engineer
Mar 2025 – Feb 2026
Tech Stack: React, Node.js, Go, AWS, Terraform, Docker, Kubernetes, GitHub Actions, PostgreSQL, Redis
  • Architected and delivered 5 production-grade full‑stack SaaS applications using React, Node.js and Go on AWS, translating client requirements into scalable feature sets and reducing time-to-market for new customers.
  • Provisioned infrastructure as code with Terraform and containerized workloads with Docker and Kubernetes, redesigning deployment topology and cutting release time by 70%.
  • Implemented GitOps-driven CI/CD pipelines with automated testing, monitoring and rollback controls across 15+ production releases to improve deployment reliability and shorten recovery time.
  • Designed microservices-based backend patterns, tuned PostgreSQL queries and implemented Redis caching, increasing response efficiency by 40% for critical endpoints.
  • Partnered with stakeholders and designers to define feature scope and prioritized accessible UI implementations (WCAG 2.1 AA), improving user satisfaction and compliance for client-facing apps.
  • Introduced production monitoring, alerting and automated rollback procedures, reducing mean time to detect and remediate incidents and improving overall production stability.
Capgemini Consulting
Software Engineer
Jul 2021 – Dec 2022
Tech Stack: Java, Spring Boot, PostgreSQL, Redis, React, Jenkins, GitHub Actions, JUnit, Mockito
  • Developed 12+ Java Spring Boot microservices and supporting RESTful APIs powering high-volume enterprise workflows, contributing to a platform that sustained 99.9% uptime in production.
  • Designed and maintained backend workflows and APIs consumed by React front-ends, improving cross-team integration and feature throughput for multiple product teams.
  • Diagnosed and resolved performance bottlenecks through Redis caching strategies and PostgreSQL query optimization, achieving a 3x throughput improvement on critical services.
  • Collaborated closely with product managers and frontend engineers to define sprint scope and prioritized work, accelerating feature delivery velocity by 25% in Agile cycles.
  • Strengthened CI/CD and quality gates using Jenkins, GitHub Actions, JUnit and Mockito, reducing production incidents by 40% and improving release readiness.
  • Authored service-level documentation and runbooks to support on-call rotations and production troubleshooting, reducing mean time to recovery for recurring failure modes.
Knowledge Solutions
Software Engineer Intern
May 2020 – Dec 2020
Tech Stack: Java, RESTful APIs, Selenium, JUnit, JIRA, Database Optimization
  • Engineered backend components and RESTful APIs for enterprise applications processing 1M+ daily transactions, improving API reliability and throughput.
  • Optimized database queries and backend workflows to improve maintainability and operational stability across core services.
  • Diagnosed and remediated 50+ production issues via root-cause analysis and JIRA-driven ticketing, improving overall application health in production.
  • Collaborated with development and QA during Agile sprints to support design reviews, feature validation and timely production releases.
  • Automated regression and functional tests with Selenium and JUnit, increasing test coverage by 45% across core modules and reducing manual QA effort.
  • Participated in performance profiling and regression investigations to validate fixes and prevent recurrence of critical defects.
Full-Stack Software

Education

New Jersey Institute of Technology
Master of Science in Computer Science • Newark, NJ • Jan 2023 – Dec 2024

Certifications

AWS Cloud Practitioner Essentials Certification
Agile Development Practitioner Certification

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