Integration & Test Automation Engineer (AI Platform)

We are seeking an Integration & Test Automation Engineer to strengthen our multi-stage DevSecOps workflows and ensure our platform meets reliability, security, and quality standards across development, staging, and production. In this role, you will create and maintain high-coverage automated test suites, validate system integrations (including AI components), and work hands-on with CI/CD pipelines and cloud-based test environments.

You’ll collaborate cross-functionally with software, system engineering & quality, and platform release teams. You’ll also engage with customer-facing test activities and have an opportunity to influence how we validate state-of-the-art AI-enabled engineering solutions., * Develop, maintain, and enhance automated unit, integration, regression, and end-to-end test suites using tools like Pytest, JUnit, and Selenium/Cypress.

• Validate integrations between APIs, microservices, model-based systems engineering (MBSE) layers, and AI pipeline components.
• Work closely with system engineers to plan, automate, and execute comprehensive model-based systems engineering (MBSE) test scenarios.
• Integrate automated test executions into GitLab CI/CD pipelines, ensuring robust stage gating (local, dev, staging, prod).
• Design and implement thorough test plans, including system, performance, security, and UAT testing; track coverage/metrics against exit criteria.
• Build, deploy, and test environments using Kubernetes, Docker, and infrastructure automation with Terraform and/or AWS CloudFormation.
• Write scripts/tools in Python, Bash, PowerShell, and TypeScript to support test automation, data setup, CI/CD hooks, and system validation; apply Regex for data parsing/validation as appropriate.
• Leverage Prometheus/Grafana to validate system metrics as part of test runs and post-deployment checks.
• Quickly analyze test failures, assist development teams in debugging, and support defect tracking and resolution throughout the delivery cycle.
• Engage with Developers, Systems Engineers, and Platform/Quality teams from requirements discovery through deployment and handover

• Bachelor’s (8-10 years) or Master’s degree (6-8 years) or PhD (3-5 years) in Computer Science, Engineering, or a closely related field.
• 2-5 years in software/system testing or QA roles, preferably in complex, CI/CD-driven environments.
• Proficiency in developing automated test scripts using modern frameworks (e.g., Pytest for Python, JUnit, Selenium/Cypress for web UI, etc.).
• Experience testing REST APIs, microservices, and containerized (Docker/Kubernetes) applications.
• Hands-on with GitLab, automated pipelines, code branching/merging, and artifact promotion strategies.
• Direct experience running tests or deploying environments on AWS and/or Azure.
• Comfortable working jointly with Dev, Quality, and Ops teams, and engaging in customer-driven test/acceptance cycles.
• Analytical and proactive mindset in defect isolation, root-causing, and proposing corrective actions.
• Ability to obtain/maintain Secret Clearance.

Preferred Skills:

• Familiarity with load testing tools, DAST/IAST, or other runtime security scanning.
• Experience using Prometheus/Grafana for test validation and system observability.
• Exposure to evaluating AI model outputs or integrating model quality into test plans (MLflow or similar).
• Familiarity with digital engineering concepts, SysML, or model-based system workflows.
• Experience preparing test reports, validation evidence, and supporting formal acceptance reviews.