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 – Solid 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.

Key Requirement:

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

📌 Python Test Automation Engineer – Linux, Kubernetes & Virtualization Bengaluru
🏢 TERRALOGIC
📍 Bengaluru