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