Tanaq Technical Services (TTS) is an 8(a) Alaskan Native Small Business specializing in delivering Enterprise Integrated Technology Solutions and Support Services to the Federal Government. The QA Engineering Lead (Automation Testing) will lead automation testing efforts, ensuring software solutions meet various compliance and performance requirements while supporting application modernization and cloud transformation initiatives.
Responsibilities:
- Develop and execute the overall Quality Assurance (QA) and Test Automation Strategy for HUD ADPS applications and services
- Establish enterprise testing standards, quality metrics, governance processes, and best practices aligned with Agile, DevSecOps, and CI/CD methodologies
- Lead the design, development, implementation, and maintenance of automated testing frameworks for web applications, APIs, integrations, data pipelines, cloud-native applications, and enterprise platforms
- Integrate automated testing into CI/CD pipelines to support continuous integration, continuous testing, and continuous delivery objectives
- Develop comprehensive test plans, test cases, test scripts, acceptance criteria, and traceability matrices aligned with business and technical requirements
- Perform and oversee functional, regression, integration, system, user acceptance, performance, load, stress, accessibility, and security testing activities
- Validate data quality, data reconciliation, and reporting accuracy across enterprise data environments and analytics platforms
- Coordinate testing activities across multiple Agile teams, releases, and application portfolios
- Support release management processes including release readiness reviews, deployment validation, rollback testing, and production verification
- Manage defect identification, prioritization, root-cause analysis, remediation tracking, and reporting
- Develop dashboards and executive reports that communicate quality trends, testing coverage, release readiness, defect metrics, and operational risks
- Support Authority to Operate (ATO), FISMA, NIST, and cybersecurity compliance activities by validating security controls and participating in assessment activities
- Evaluate and implement AI-assisted testing solutions to improve test coverage, defect detection, and quality engineering efficiency
- Provide mentorship, technical leadership, and training to QA engineers and project teams regarding quality engineering best practices
- Identify opportunities for process optimization, automation, and continuous improvement across software delivery and operational support processes
Requirements:
- 10+ years of overall IT experience, including 7+ years in Quality Assurance, Software Testing, or Quality Engineering
- 5+ years of hands-on test automation experience designing, developing, and maintaining automated test frameworks for enterprise applications
- Experience leading QA automation strategy, test planning, test execution, defect management, and release validation across Agile software delivery teams
- Proficiency with at least one automation programming language, such as Java, Python, JavaScript, TypeScript, or C#
- Experience with web UI automation tools such as Selenium, Playwright, Cypress, or similar
- Experience with API testing, service validation, and integration testing using tools such as Postman, REST Assured, Karate, SoapUI, ReadyAPI, or similar
- Experience integrating automated tests into CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, GitLab CI/CD, or similar tools
- Experience creating test plans, test cases, test scripts, acceptance criteria, traceability matrices, and test summary reports
- Experience performing functional, regression, integration, system, smoke, performance, accessibility, and security-related testing
- Strong SQL skills for database validation, data reconciliation, and reporting accuracy testing
- Experience with defect tracking, root cause analysis, risk reporting, and quality metrics using tools such as Jira, Azure Boards, ServiceNow, or similar
- Knowledge of Agile, Scrum, DevSecOps, CI/CD, and secure SDLC practices
- Ability to lead testing activities across multiple applications, releases, or Agile teams
- Strong written and verbal communication skills, including the ability to brief technical findings, risks, and release readiness to leadership
- Ability to pass required Federal background screening and obtain and maintain both government clearance and customer approval
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- Experience supporting Federal civilian agencies, HUD, or housing financial assistance systems
- Experience supporting enterprise application modernization, large-scale cloud transformation initiatives, and testing cloud-native applications in Azure, AWS, or OCI
- Experience implementing and validating AI-assisted testing solutions, including intelligent test automation, predictive defect analytics, RAG output validation, and AI-enabled quality engineering practices
- Experience supporting FISMA, NIST 800-53, ATO, FedRAMP, or federal cybersecurity compliance
- Experience with enterprise data validation, business intelligence testing, API testing, and systems integration testing
- Experience with performance testing tools such as JMeter, LoadRunner, k6, Gatling, or NeoLoad
- Certifications such as ISTQB, Certified ScrumMaster, SAFe, AWS/Azure certifications, Security+, or Agile testing certifications
- Master's degree in Computer Science, Software Engineering, Information Systems, Artificial Intelligence, Data Analytics, Cybersecurity, or a related field is preferred but not required