[Remote] Integration & Test Automation Engineer (AI Platform)

Note: The job is a remote job and is open to candidates in USA. Arcfield is seeking an Integration & Test Automation Engineer to enhance their multi-stage DevSecOps workflows. The role involves creating automated test suites, validating system integrations, and collaborating with various teams to ensure the platform meets reliability and quality standards.

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 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

Skills

• 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
• 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

Benefits

• 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

Company Overview