QA Automation Engineer – DevOps
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Job Description
About the Role
We are looking for an experienced QA Automation Engineer with strong DevOps expertise to drive automation and quality across application delivery, CI/CD pipelines, cloud environments, and deployments.
The ideal candidate will have strong hands-on experience in test automation, API testing, CI/CD, Kubernetes, cloud platforms, and troubleshooting. The role will work closely with Engineering, DevOps, Cloud, and Platform teams to ensure high-quality and reliable releases.
Responsibilities
• Design, develop, and maintain scalable test automation frameworks.
• Automate functional, regression, integration, API, smoke, and deployment validation testing.
• Integrate automated test suites into CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Azure DevOps.
• Validate application deployments across Kubernetes and containerized environments.
• Perform deployment validation, health checks, rollback testing, and release-readiness testing.
• Test REST APIs, service integrations, and JSON/YAML payloads.
• Analyze pipeline failures, application logs, Kubernetes events, and deployment logs to identify and troubleshoot issues.
• Validate cloud-based applications and services across Azure and/or GCP environments.
• Improve automation coverage and reduce flaky or unstable automated tests.
• Define quality gates, test coverage, release exit criteria, and production-readiness checks.
• Collaborate closely with QA, Development, DevOps, Cloud, and Platform Engineering teams.
Mandatory Skills
• 6+ years of experience in QA Automation, SDET, or Software Testing roles.
• Strong hands-on programming/scripting experience in Python, Java, TypeScript, or C#.
• Strong experience building and maintaining automation frameworks.
• Hands-on experience with API automation and REST API testing.
• Strong understanding of CI/CD concepts and pipelines.
• Experience with Jenkins, GitHub Actions, or Azure DevOps.
• Hands-on experience with Docker and Kubernetes, including:• kubectl
• Pod and container troubleshooting
• Deployment/rollout validation
• Log analysis
• Readiness and liveness checks
• Experience with Azure and/or GCP.
• Strong knowledge of Git and version-control workflows.
• Strong debugging and troubleshooting skills across applications, pipelines, and cloud environments.
Good to Have
• Experience with AKS or GKE.
• Knowledge of Argo CD/GitOps.
• Experience with Terraform or Ansible.
• Scripting knowledge in Bash or PowerShell.
• Knowledge of OAuth2/OIDC and Keycloak.
• Understanding of microservices and distributed systems.
• Experience with observability and monitoring tools.
• Experience validating production deployments and release readiness.
Soft Skills
• Strong analytical and problem-solving skills.
• Automation-first mindset.
• Strong ownership of quality and release readiness.
• Ability to troubleshoot complex technical issues.
• Strong collaboration with QA, DevOps, Platform, Cloud, and Engineering teams.
Requirements
Function: Information Technology
Experience Level: Mid-Senior Level