Senior Software Quality Assurance Engineer and Tester

The role

You will lead software quality assurance activities and develop automated testing frameworks to support the U.S. Army's Scalable GEOINT Architecture. This role involves integrating security testing into DevSecOps pipelines and ensuring the reliability of mission-critical software.

What you will do

• Develop, implement, and maintain software quality assurance strategies, test plans, and procedures.
• Design, develop, and execute automated and manual testing solutions.
• Build, configure, and maintain production-like testing environments.
• Design, build, secure, and maintain CI/CD pipelines.
• Develop advanced Python scripts and automated testing frameworks.
• Integrate automated security testing and vulnerability assessment tools into processes.
• Perform functional, regression, negative, integration, system, and compatibility testing.
• Validate software compatibility across Windows, Windows Server, RHEL, and network environments.
• Identify, document, prioritize, and track software defects.
• Coordinate with government stakeholders to communicate testing progress and risks.

Required qualifications

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline, or equivalent relevant professional experience.
• 7+ years of combined professional experience in DevOps and software quality assurance.
• Demonstrated expertise designing, building, securing, and maintaining CI/CD pipelines.
• Advanced Python scripting and automation skills.
• Hands-on experience implementing and utilizing automated security testing tools.
• Experience developing, executing, and maintaining software test plans, scripts, and automated testing procedures.
• Experience identifying, documenting, tracking, and resolving software defects.
• Strong understanding of SDLC, quality assurance methodologies, testing standards, and secure software development practices.
• Experience collaborating with developers, engineers, and technical stakeholders.
• Strong technical problem-solving, analytical, communication, and documentation skills.
• Ability to meet DoDM 8140.03 baseline certification requirements at the start of employment.
• Ability to obtain the required computing environment certification or certificate of training before receiving privileged system access.

Nice to have

• Certified Kubernetes Administrator (CKA) or AWS Certified DevOps Engineer certification.
• Experience designing test automation frameworks and developing custom automated testing tools.
• Experience performing regression, negative, and compatibility testing across Windows, Windows Server, and RHEL environments.
• Experience using ServiceNow, Jira, or similar platforms.
• Experience conducting software testing within DISA STIG-hardened environments.
• Familiarity with Configuration Control Board (CCB) processes.
• Hands-on experience testing containerized applications using Docker and Kubernetes.
• Familiarity with GEOINT software platforms, including ArcGIS Enterprise and SOCET GXP.
• Experience integrating automated security testing into CI/CD pipelines.
• Previous experience supporting Department of Defense (DoD), U.S. Army, Intelligence Community, or other classified government software development programs.

Benefits

• Professional growth opportunities
• Competitive benefits
• Participation in an Employee Stock Ownership Plan (ESOP)

Before you apply

• Active, final Top Secret security clearance required at the start of employment.
• Must be eligible for access to Sensitive Compartmented Information (SCI).
• Must meet applicable security requirements for access to classified government information systems and facilities.
• Security clearances may only be granted to U.S. citizens.
• Applicants may be subject to government security investigation(s).

About the company

Data Systems Analysts, Inc. (DSA) is an employee-owned technology and professional services company supporting federal government and commercial customers. DSA delivers mission-focused solutions across cybersecurity, information technology, software development, enterprise modernization, systems engineering, and data analytics.