Kubernetes with SDET
Capgemini
Job Description
In this role, you will:
- Develop automation scripts and frameworks using Python, Shell scripting, or Groovy.
- Work with Python test frameworks such as Pytest, Lettuce, and Doctest.
- Design and manage infrastructure using Kubernetes, OpenStack, and other cloud-native platforms.
- Implement Infrastructure-as-Code using tools like Terraform, Ansible, Helm, and Kolla Ansible.
- Integrate CI/CD pipelines using Jenkins, GitLab CI, or GitHub Actions.
- Conduct API testing using tools like Postman, RestAssured, and Karate.
- Monitor systems using observability tools such as Prometheus, Grafana, and the ELK Stack.
- Work across cloud environments (AWS, Azure, GCP) and on-premise infrastructure.
- Apply Agile methodologies and QA best practices throughout the SDLC.
Your Profile
- 8–12 years of experience in automation and cloud infrastructure.
- Strong programming skills in Python, with experience in Shell scripting or Groovy.
- Hands-on experience with Kubernetes and OpenStack.
- Proficiency in Infrastructure-as-Code and automation tools.
- Experience with CI/CD and API testing tools.
- Familiarity with monitoring and observability platforms.
- Exposure to cloud platforms and hybrid infrastructure setups.
- Strong understanding of Agile practices and software quality assurance.