Quality Assurance (DoD Secret | Remote)

Sorry, this job was removed at 04:09 p.m. (CST) on Wednesday, Feb 18, 2026
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Hiring Remotely in USA
Remote
Artificial Intelligence • Cloud • Machine Learning
The Role

QA Automation Engineer & Quality Analyst (DoD Secret | Remote)

Location: Remote (U.S.–Based)
Clearance: Active DoD Secret Clearance (or higher)


Make an Impact on Military Healthcare and Readiness

  • We are seeking an experienced QA Automation Engineer and Quality Analyst to ensure the data integration solution meets the highest standards of quality, reliability, and accuracy. The QA Automation Engineer will build automated tests and frameworks, while the Quality Analyst will focus on comprehensive testing and validation from both user and data-quality perspectives.
  • Design detailed test plans and test cases addressing functional requirements, data integrity, and performance criteria.
  • Define acceptance criteria and validation procedures to verify that each feature of the data integration platform meets documented requirements.
  • Develop and maintain automated test suites to efficiently support regression, integration, and end-to-end testing.
  • Build and manage automation test frameworks, integrating them into the CI/CD pipeline to support continuous testing.
  • Conduct data quality and integration testing to ensure that data flowing across systems is accurate, consistent, and reliable.
  • Perform performance and reliability testing to validate system behavior under varying load conditions.
  • Oversee the end-to-end QA process and ensure alignment with established quality standards and best practices.

Who You Are

  • You are an experienced QA Automation Engineer and Quality Analyst with a strong background in validating complex systems.
  • You have extensive experience using frameworks and tools for automated testing, such as Selenium, JUnit/TestNG, or Python-based frameworks (e.g., PyTest) for API and UI testing.
  • You have hands-on experience with test automation frameworks and integrating automated tests into CI/CD pipelines.
  • You are proficient with CI/CD systems such as GitLab or Jenkins.
  • You have experience using issue-tracking and project-management tools (e.g., JIRA, Azure DevOps) to log defects and track their resolution.
  • You have familiarity with data profiling and validation tools to ensure data integrity across systems.

About Rackner

  • Rackner is a cloud-native software consultancy delivering solutions for startups, enterprises, and public sector partners.
  • We drive digital transformation through DevSecOps, AI/ML, and cloud-first innovation.
  • Our teams solve complex, high-impact challenges that advance federal missions and enhance national readiness.
  • Join us to shape the future of secure, scalable data systems that support mission-critical outcomes.

Why You’ll Love Working Here

  • Weekly pay and full remote flexibility.
  • Professional growth opportunities, including paid certifications and training.
  • Comprehensive benefits, including:
    • 401(k) with 100% match up to 6%
    • PTO
    • Medical, dental, and vision insurance
    • Life and disability coverage
  • Home office equipment allowance and a supportive, inclusive team culture with meaningful mission impact.

Hashtags for Visibility

#QA #DoDCleared #QAAnalyst #QualityAssurance #QAAutomation

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The Company
HQ: Silver Spring, MD
11 Employees
Year Founded: 2015

What We Do

Rackner builds cutting-edge solutions that apply DevSecOps and the power of AI in the datacenter, public and private clouds, and edge, leveraging the future of compute capability and technologies like Kubernetes (k8s) and WebAssembly (WASM). We're a member of the Cloud Native Computing Foundation and a Kubernetes Certified Service Provider - as well as a partner to the major public cloud companies.

Our customers include hypergrowth startups and federal agencies, both Civilian and Defense.

Core Competencies

- DevSecOps
- Edge Computing
- AI/ML
- Cloud-Native and Hybrid-Cloud development
- Web and Mobile Applications Development (Microservices)

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