About the Role:

Terralogic is looking for a motivated Python test automation engineer with strong programming and software testing fundamentals. The ideal candidate should have hands-on experience in Python scripting, test automation, Linux troubleshooting, and a basic understanding of virtualisation and container technologies.

Job Location: Bangalore

Work mode: Work from the office (WFO)

Notice period: Immediate to 15 days

Key Responsibilities:

- Develop Python automation scripts and test frameworks from scratch.

- Design, develop, execute, and maintain end-to-end automated test cases.

- Perform functional, system, regression, and API testing.

- Troubleshoot issues in Linux environments using system commands, logs, and debugging techniques.

- Work with Docker, Kubernetes, virtual machines, and virtualization technologies.

- Analyze test results, identify defects, and collaborate with engineering teams to resolve issues.

- Participate in defect triaging, root cause analysis, and regression testing.

Mandatory Technical Skills:

- Python Programming: Strong Python coding skills; independently developing automation scripts and frameworks from scratch.

- Linux Operating System: Hands-on experience with Linux administration, system debugging, troubleshooting, and log analysis.

- Virtualisation & Hypervisors: Basic understanding of virtualisation concepts, virtual machines, VMware ESXi, and vCenter.

- Kubernetes & Containers: Working knowledge of Kubernetes, Docker, and containerised applications.

- Test Automation: End-to-end test case development, automation framework development, execution, and maintenance.

- API Automation: Working knowledge of API testing tools such as Postman or equivalent automation tools.

- Networking Fundamentals: Understanding of networking concepts and troubleshooting.

- QA Fundamentals: Software testing lifecycle, bug lifecycle, functional testing, system testing, regression testing, and defect triaging.

- Distributed Systems: Basic understanding of compute, storage, networking, virtualisation, and distributed storage.

Good-to-Have Skills:

- Cloud exposure: AWS or Google Cloud Platform (GCP).

- AI-based development and automation tools, such as Cursor or similar tools.

- Experience working in product-based organizations.

- Familiarity with enterprise data center infrastructure and microservices.