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Arcfield Logo Arcfield · IT - Software Development

Integration & Test Automation Engineer (AI Platform)

United States, Home Employment contract 101156.77 - 199035.68 USD / Year · Job Posted July 03, 2026
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Job Description

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.

Job Responsibility

  • 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

Requirements

  • 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

Nice to have

  • 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

What we offer

  • Health Insurance
  • Life Insurance
  • Paid Time Off
  • Holiday Pay
  • Short Term and Long-Term Disability
  • Retirement and Savings
  • Learning and Development opportunities
  • wellness programs
  • other optional benefit elections
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