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QA Automation - Plano, TX

Job in Plano, Collin County, Texas, 75086, USA
Listing for: Photon
Full Time position
Listed on 2026-07-13
Job specializations:
  • Software Development
    DevOps, Software Testing, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 42000 - 147000 USD Yearly USD 42000.00 147000.00 YEAR
Job Description & How to Apply Below

We are seeking a highly experienced QA Automation Engineer with 10+ years of experience to lead automated testing efforts for our microservices ecosystem. This role requires hands‑on expertise in testing service contracts
, Level 2/Level 3 APIs
, and the ability to apply Domain‑Driven Design (DDD) principles within the testing strategy. You will collaborate with product managers, architects, and developers to ensure our microservices are reliable, scalable, and meet both functional and non‑functional requirements.

Key Responsibilities

Automation Framework Development

Design, develop, and maintain comprehensive test automation frameworks for microservices, focusing on integration, contract, and end‑to‑end testing.

Ensure tests are reliable, repeatable, and easily maintainable across multiple services and deployment pipelines.

API and Service Contract Testing

Collaborate with architects and developers to validate service contracts
, ensuring that services adhere to agreed‑upon schemas, versioning standards, and performance benchmarks.

Implement and maintain API test suites (Level 2 and Level
3) using tools such as Postman
, REST Assured
, Karate
, or similar.

Perform contract testing (e.g., Pact) to ensure compatibility and integration quality across the microservices landscape.

Understand and apply Domain‑Driven Design concepts in test scenario creation.

Work with business analysts and domain experts to translate bounded contexts and ubiquitous language into testable requirements and acceptance criteria.

Integrate automated tests into CI/CD pipelines (e.g., Jenkins, Git Lab CI, Azure Dev Ops) to ensure rapid and reliable feedback on code changes.

Monitor and optimize pipeline performance, identifying bottlenecks and proposing improvements.

Quality Metrics and Observability

Define, track, and report on critical quality metrics (e.g., test coverage, pass/fail rates, defect density).

Collaborate with Dev Ops and SRE teams to integrate testing with monitoring and logging solutions for better test observability and quicker root‑cause analysis.

Performance and Reliability Testing

Develop and execute performance/load/stress tests to ensure microservices meet SLAs and can scale effectively under heavy load.

Investigate and address reliability issues, working closely with development teams to identify root causes and recommend fixes.

Collaboration and Mentorship

Mentor junior QA engineers on best practices in automated testing
, DDD
, and API testing
.

Facilitate knowledge sharing sessions to improve the overall testing capabilities across teams.

Risk Identification and Mitigation

Proactively identify testing gaps or potential risk areas in the microservices architecture (e.g., overlapping data models, insufficient test coverage in boundary cases).

Collaborate with product managers and technical leads to prioritize testing efforts and mitigate project risks early.

Qualifications

Education & Experience

Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems, or related field (or equivalent work experience).

10+ years of QA/testing experience, including 5+ years specifically in test automation for microservices or complex distributed systems.

Technical Expertise

Proven track record in microservices testing
: integration, contract (Pact or equivalent), and end‑to‑end testing.

In‑depth knowledge of Level 2/Level 3 API design and relevant testing methodologies.

Experience applying Domain‑Driven Design principles to testing strategies and test cases.

Proficiency with automation tools/frameworks (e.g., Java‑based frameworks, Python‑based frameworks, Selenium/Cypress for UI, REST Assured, Postman, QTest, etc.).

Familiarity with cloud‑native environments (AWS, Azure, GCP) and container orchestration (Kubernetes).

CI/CD and Dev Ops Familiarity

Hands‑on experience with CI/CD pipelines (Jenkins, Git Lab CI, Azure Dev Ops, etc.) and version control systems (Git).

Basic knowledge of infrastructure as code (Terraform, Ansible) and configuration management is a plus.

Testing Mindset & Best Practices

Strong understanding of SDLC and various testing levels (unit, integration, system, acceptance, performance).

Expertise in Agile/S…

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