Integration & Test Automation Engineer; AI Platform
Listed on 2026-07-08
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Software Development
DevOps, Software Testing
Location: Home Creek
Responsibilities
We are seeking an Integration & Test Automation Engineer to strengthen our multi-stage Dev Sec Ops 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.
Key Responsibilities- 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 Git Lab 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 Cloud Formation.
- Write scripts/tools in Python, Bash, Power Shell, and Type Script 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 Git Lab, 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.
- 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.
- Languages:
Python, Rust, Java, JavaScript (React/Redux), Type Script, Bash, Power Shell, Reg Ex - Cloud/Infrastructure: AWS, Azure, Kubernetes, Docker, Terraform, Cloud Formation
- Dev Sec Ops :
Git Lab, Maven, Semgrep, yGuard, OWASP, DAST/IAST - Testing/Observability: pytest, JUnit, Jacoco, OTel, Grafana Stack, MLflow
- AI/ML: GPT models, Claude models, Embedding Models, Lang Chain, Llama Index, MCP
- MBSE/Domain:
Cameo Systems Modeler, Teamwork Cloud, SysML v1 and v2
This is the projected compensation range for this position. There are differentiating factors that can impact a final salary/hourly rate, including,…
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