
Kubernetes Test Automation Specialist
1 day ago
We are looking for a seasoned Distributed System Test Automation Engineer to join our team.
About this role:
- Design, develop, and maintain automated test suites for integration, end-to-end (E2E), smoke, and regression testing.
- Collaborate with engineering, DevOps, and product teams to build a highly automated and scalable test framework.
This role is essential to ensure the quality, reliability, and scalability of our product through comprehensive integration, E2E, smoke, regression, and performance testing.
Responsibilities:
- Develop and maintain automated test suites for integration, end-to-end (E2E), smoke, and regression testing.
- Implement strategies for scalability and load testing of a Kubernetes-based distributed system.
- Perform manual testing on frontend (UI) and backend (API, database) to validate functionality, usability, and performance.
- Collaborate with development teams to understand architecture and features to define appropriate test coverage.
- Develop and maintain test plans, test cases, and test scripts aligned with business and technical requirements.
- Build reusable test components and utilities for frontend and backend systems.
- Automate deployments and test execution in CI/CD pipelines using GitOps and Kubernetes tooling.
- Monitor test executions, analyze results, and drive continuous improvement in test quality and coverage.
Requirements:
- 8+ years of experience in test automation for modern distributed systems.
- Strong communication and collaboration skills to work with cross-functional teams across time zones.
- Proficiency in writing automation for microservices built in Node.js, Python, and Go.
- Strong experience with Kubernetes, including hands-on experience testing systems running on K8s.
- Expertise in E2E/UI test frameworks such as Cypress, Playwright, or Selenium.
- Experience with API testing tools (e.g., Postman, REST-assured, Supertest).
- Experience with load and performance testing tools such as k6, Locust, or JMeter.
- Deep understanding of CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, or ArgoCD.
- Familiarity with observability tools: Prometheus, Elasticsearch, Grafana, Fluent Bit.
- Strong scripting or development background in Python, JavaScript/TypeScript, or Golang.
- Solid understanding of GitOps, Docker, and Helm charts.
Bonus points if you have:
- Experience testing on service mesh environments (e.g., Istio, Gloo).
- Familiarity with chaos engineering tools like Litmus or Chaos Mesh.
- Experience in secure testing and compliance validation for enterprise deployments.
Astronomer is a remote-first company.
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