Python Test Automation Engineer – Linux, Kubernetes & Virtualization

Python Test Automation Engineer – Linux, Kubernetes & Virtualization

Location: Bangalore

Experience: 4+ years

Employment Type: Full-time

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 virtualization and container technologies.

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.

Important Requirement:

Candidates must be comfortable with an 18-month commitment. Please consider this requirement before applying.