Open to opportunities

GeethaSreepada

Backend Software Engineer · Designing and scaling Java/Spring Boot microservices for high-traffic financial systems · Building fault-tolerant, distributed systems with strong reliability and performance optimization

Seattle, US
Book intro with Geetha
Backend Software EngineerJava/Spring Boot EngineerMicroservices ArchitectSDESenior Software Engineer
01 — Positioning

Where Geetha is headed.

Geetha brings 4+ years of experience designing and scaling enterprise microservices in high-traffic financial systems, combining strong distributed systems fundamentals with hands-on expertise in modern AI-assisted development tools like GitHub Copilot. Her track record spans from Azure DevOps platform reliability at Microsoft scale to architecting fault-tolerant financial services at Fidelity, demonstrating both deep technical depth and cross-functional collaboration skills.

What Geetha brings
  1. 01Designing and scaling Java/Spring Boot microservices for high-traffic financial systems
  2. 02Building fault-tolerant, distributed systems with strong reliability and performance optimization
  3. 03Integrating AI-assisted development tools (GitHub Copilot) into production workflows while maintaining code quality
  4. 04Driving test coverage and code quality improvements (80% regression defect reduction)
  5. 05Cross-functional collaboration across Agile teams in regulated, high-stakes environments
02 — Proof

The receipts.

Numbers first. Every metric below is something Geetha shipped or drove — not a claim, an outcome.

  • Proof 01
    Designed and deployed RESTful microservices supporting millions of users on Health & Planning Financial Platform
    Financial platform microservices at scale
  • Proof 02
    Managed operational health of Visual Studio Team Services and Azure DevOps supporting millions of daily active users
    Microsoft platform reliability at global scale
  • Proof 03
    80%
    reduction in production regression defects via comprehensive JUnit 5 test suites
    Regression defect reduction through test automation
  • Proof 04
    50%+
    automation coverage achieved in 2 sprints, reducing verification time from 2 months to 3 weeks
    Testing automation framework acceleration
03 — Role fit

Operating range.

Where Geetha plugs in fastest — sorted from strongest fit to adjacent. Not a wishlist; a routing map.

  • primary fit
    Backend / Microservices Engineer
    Mid-to-Senior
  • primary fit
    Distributed Systems Engineer
    Mid
  • secondary fit
    Full Stack Engineer
    Mid
  • adjacent fit
    Cloud Infrastructure / DevOps
    Mid