Employed · Open to opportunities

Daniel Chambers

Sr Test Engineer II

Sr Test Engineer II focused on system verification and test execution across hardware, software, and integrated systems throughout the engineering development lifecycle. I design test approaches, document verification, isolate defects, and drive quality improvements—bringing a reliability-first mindset shaped by prior USAF service.

Employed and selectively open to 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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