Python Test Automation Engineer

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.