Test & Release Engineer – Unified Video
Job Summary
Cubic Digital Intelligence is seeking a Test & Release Engineer to join the Unified Video (UV) engineering team supporting the sustainment and modernization of our Full Motion Video (FMV) platform.
Essential Functions
Design, develop, and maintain automated testing frameworks for web applications, APIs, and backend services.
Create, execute, and maintain manual and automated test plans, test cases, and regression suites using Jira Xray.
Improve and automate software release processes to support a consistent weekly release cadence.
Develop and maintain GitLab CI/CD pipelines supporting automated testing, quality gates, and software deployments.
Collaborate with software engineers to improve application testability, reliability, and deployment efficiency.
Investigate test failures, identify root causes, and work with development teams to resolve issues.
Support software validation across Linux-based environments, containerized applications, and PostgreSQL-backed systems.
Evaluate and implement AI-assisted testing techniques to improve test coverage, defect detection, and engineering productivity.
Contribute to process improvements, release documentation, and continuous improvement initiatives.
Minimum Qualifications
Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field (or equivalent experience).
Minimum of 5 years of experience in software quality assurance, software testing, release engineering, or DevOps.
Experience developing automated tests using modern testing frameworks such as Playwright, Selenium, Cypress, or similar.
Experience working with Git, GitLab, CI/CD pipelines, and Agile software development methodologies.
Ability to obtain and maintain a U.S. Secret Security Clearance.
Preferred Qualifications
Experience with Playwright and modern browser automation frameworks.
Experience using Jira and Xray for test management, traceability, and test execution.
Familiarity with Node.js, Python, PostgreSQL, Docker, Kubernetes, and Linux environments.
Experience building or maintaining GitLab CI/CD pipelines and release automation.
Experience validating REST APIs and backend services.
Experience using AI-assisted testing or development tools (GitHub Copilot, ChatGPT, Claude Code, Codex, etc.) to improve testing efficiency and software quality.
Strong analytical, troubleshooting, and communication skills with a continuous improvement mindset.
Cubic Pay Range
$117,000.00 - $127,000.00 + benefits.