Geetha Sreepada

Backend Software Engineer | Java/Spring Boot Engineer | Microservices Architect | SDE | Senior Software Engineer
Seattle, US | www.linkedin.com/in/geetha-sreepada/?isSelfProfile=false | github.com/geethasreepada?tab=repositories | www.pypes.dev/geetha-sreepada
Target roles: Backend Software Engineer | Java/Spring Boot Engineer | Microservices Architect | SDE | Senior Software Engineer
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.
Selected Impact Highlights
Financial platform microservices at scale: Designed and deployed RESTful microservices supporting millions of users on Health & Planning Financial Platform
Microsoft platform reliability at global scale: Managed operational health of Visual Studio Team Services and Azure DevOps supporting millions of daily active users
Regression defect reduction through test automation: 80% reduction in production regression defects via comprehensive JUnit 5 test suites
Testing automation framework acceleration: 50%+ automation coverage achieved in 2 sprints, reducing verification time from 2 months to 3 weeks
Core Professional Competencies
Superpowers: Designing and scaling Java/Spring Boot microservices for high-traffic financial systems, Building fault-tolerant, distributed systems with strong reliability and performance optimization, Integrating AI-assisted development tools (GitHub Copilot) into production workflows while maintaining code quality, Driving test coverage and code quality improvements (80% regression defect reduction), Cross-functional collaboration across Agile teams in regulated, high-stakes environments.
Role fit: Cloud Infrastructure / DevOps (Mid, adjacent), Backend / Microservices Engineer (Mid-to-Senior, primary), Distributed Systems Engineer (Mid, primary), Full Stack Engineer (Mid, secondary).
Selected Work & Outcomes
Candidate Kit
CANDIDATE CONVERSION KIT

Geetha Sreepada

Backend Software Engineer · Java/Spring Boot Engineer · Microservices Architect
Candidate thesis

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.

Routing destination

Route to Backend Software Engineer, Java/Spring Boot Engineer, Microservices Architect teams building high-throughput services in the candidate's core stack.

80%
Regression defect reduction through test automation
50%
Testing automation framework acceleration
4
documented proof points
5
best-fit target roles
MARKET PLACEMENT SNAPSHOT

Where this candidate belongs

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Primary lane

Designing and scaling Java/Spring Boot microservices for high-traffic financial systems. Building fault-tolerant, distributed systems with strong reliability and performance optimization. Integrating AI-assisted development tools (GitHub Copilot) into production workflows while maintaining code quality. Driving test coverage and code quality improvements (80% regression defect reduction).

Strong adjacent lanes

Cloud Infrastructure / DevOps, Backend / Microservices Engineer, Distributed Systems Engineer, Full Stack Engineer.

Work model

Remote-first. Hybrid considered for high-alignment local roles. Based in Seattle, US.

Compensation positioning

Targeting $150K+. Currently: SDE2.

Fastest close path

Recruiter screen → hiring-manager review → technical conversation around Financial platform microservices at scale, Microsoft platform reliability at global scale, Regression defect reduction through test automation.

Best-fit roles
Backend Software EngineerJava/Spring Boot EngineerMicroservices ArchitectSDESenior Software Engineer
Industry bridge logic

Geetha's work in Cloud Infrastructure / DevOps, Backend / Microservices Engineer, Distributed Systems Engineer translates directly into adjacent domains with similar architecture, scale, and reliability needs.

Employer-facing guardrails
  • Primary production depth is the candidate's core stack. Other tooling framed as ramp/adjacent unless proven.
  • Leadership framing is technical leadership (mentorship, code review, architectural direction). Formal people-management should be validated per role.
  • Additional interests are personal/research at present, not production claim.
MASTER PROOF INDEX

Master Proof Matrix

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This reusable proof index maps common senior/staff engineering requirements to candidate proof. Role-specific addenda extend — not replace — this base matrix.

Financial platform microservices at scale
High

Requirement: Deliver on financial platform microservices at scale at production scale.

Proof: Designed and deployed RESTful microservices supporting millions of users on Health & Planning Financial Platform

Fit: direct
Microsoft platform reliability at global scale
High

Requirement: Deliver on microsoft platform reliability at global scale at production scale.

Proof: Managed operational health of Visual Studio Team Services and Azure DevOps supporting millions of daily active users

Fit: direct
Regression defect reduction through test automation
High

Requirement: Deliver on regression defect reduction through test automation at production scale.

Proof: 80% reduction in production regression defects via comprehensive JUnit 5 test suites

Fit: direct
Testing automation framework acceleration
High

Requirement: Deliver on testing automation framework acceleration at production scale.

Proof: 50%+ automation coverage achieved in 2 sprints, reducing verification time from 2 months to 3 weeks

Fit: direct
Designing and scaling Java/Spring Boot microservices for high-traffic financial systems
High

Requirement: Ship work that requires designing and scaling java/spring boot microservices for high-traffic financial systems.

Proof: Demonstrated at prior roles.

Fit: direct
Building fault-tolerant, distributed systems with strong reliability and performance optimization
High

Requirement: Ship work that requires building fault-tolerant, distributed systems with strong reliability and performance optimization.

Proof: Demonstrated at prior roles.

Fit: direct
CANDIDATE DOCUMENTATION

Technical Proof Catalog

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FINANC
Financial platform microservices at scale

Designed and deployed RESTful microservices supporting millions of users on Health & Planning Financial Platform

MICROS
Microsoft platform reliability at global scale

Managed operational health of Visual Studio Team Services and Azure DevOps supporting millions of daily active users

REGRES
Regression defect reduction through test automation

80% reduction in production regression defects via comprehensive JUnit 5 test suites

TESTIN
Testing automation framework acceleration

50%+ automation coverage achieved in 2 sprints, reducing verification time from 2 months to 3 weeks

CIDO
Cloud Infrastructure / DevOps

Mid — role fit: adjacent.

BME
Backend / Microservices Engineer

Mid-to-Senior — role fit: primary.

DSE
Distributed Systems Engineer

Mid — role fit: primary.

FSE
Full Stack Engineer

Mid — role fit: secondary.

PROOF EXHIBITS

Visual Evidence Index

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GitHub — public engineering surface

github.com/geethasreepada?tab=repositories — public repositories, contribution activity, and open source project surfaces.

Portfolio

https://pypes.dev/geetha-sreepada

Hosted candidate portfolio with positioning, proof points, and conversion kit surface for recruiter routing.

LinkedIn — professional network

www.linkedin.com/in/geetha-sreepada/?isSelfProfile=false

Professional profile and recruiter connection path.

Personal site

www.pypes.dev/geetha-sreepada

Additional portfolio and technical writing surface.

CONTACT AND CALL-TO-ACTION

Contact Geetha Sreepada

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Route this candidate now.

This kit is designed to survive internal forwarding. The fastest next step is a recruiter screen, hiring-manager review, referral handoff, or direct call.

Primary fit: Backend Software Engineer, Java/Spring Boot Engineer, Microservices Architect.

How to reach Geetha
Location: Seattle, US
Book a call →
Direct outreach is routed through the candidate's page to protect their contact info.
Internal handoff note

Geetha Sreepada is a Seattle, US-based Backend Software Engineer. 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. Best fit: Backend Software Engineer, Java/Spring Boot Engineer, Microservices Architect.