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Daniel Chambers

Backend Software Engineer

Backend Engineer with 5+ years of experience building and operating production microservices in Java and Python. Improved CI/CD throughput by 35 percent, enforced high automated test coverage standards, supported FedRAMP compliant releases, and led critical production incident resolution across distributed systems. Brings a reliability-first mindset shaped by prior USAF service.

Looking for backend or backend-leaning full-stack roles—see what I'm looking for.

5+ Years Experience
785+ Tests Authored
20+ Modules Covered
90%+ Coverage Achieved

Skills & Tech Stack

Languages
Java Python JavaScript TypeScript SQL
Frameworks & APIs
Spring Boot Spring MVC Spring Framework FastAPI REST APIs Microservices
Build & CI/CD
Gradle GitHub Actions Azure DevOps CI/CD Automation
Cloud & Infrastructure
AWS EC2 S3 Lambda CloudFront Containerized Microservices
Testing
JUnit 4/5 JaCoCo Automated Testing Report Portal
Monitoring & Security
DataDog Snyk AI-Assisted Tooling
Databases
PostgreSQL SQL Server Oracle SQLAlchemy
Collaboration
GitHub Jira

Enterprise Highlights

01

Test Coverage Initiative

Self-driven initiative to raise unit test coverage across a large-scale, modular enterprise search platform. Authored 785+ new unit tests across 20+ independently deployable gateway modules in under 6 weeks, the #1 test contributor by a wide margin. Raised module-level coverage from as low as ~22% to 80–98%.

Java JUnit 4/5 JaCoCo Spring Boot
02

Production Hotfixes & Dependency Remediation

Owned and drove multiple high-priority production hotfix cycles across a multi-module Java platform. Identified and resolved a systemic CI/CD template issue affecting all 16 modules. Led the commons-lang 2.6 to 3 migration, tracing transitive dependency chains through internal libraries and coordinating with upstream teams.

Java Gradle GitHub Actions AWS DataDog
03

Push-Based Alerts: V2 Endpoint & Audit System

Designed and built a new V2 REST endpoint for an alert management module with full pipeline integration. Implemented three new alert audit types for granular DataDog logging. Achieved an estimated 80% performance improvement through endpoint refactoring. Added 23+ targeted unit tests and resolved race conditions that only manifested in CI runners.

Java Spring Boot REST APIs JUnit 5 DataDog

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