Sr R&D Engineer - Testing

In this role, you will have the opportunity to contribute significantly to successful project results in technology, software, product, and/or solution development, as well as associated Intellectual Property (IP). Each day, you will act as the first point of contact in Research and Development for specific product-related issues and maintenance. You will also showcase your expertise by identifying, proposing, and implementing innovative solutions.

This role is contributing to the Process Automation Business of Process Control Platform Division in Bangalore Location.

You will be mainly accountable for:

Understating the features, developing test cases and test execution for DCS System Platform

Work with Product Owner and Development team to understand scope, features and estimates Testing and Automation effort for new releases. Define and own overall test strategy

Collaborate with development teams; provide inputs in product meetings to create high quality products within the defined schedules and budgets.

Should have experience in manual testing as well automation Testing using relevant tools.

Looking for BE (Computer Science, Electrical, Electronics, Industrial Automation ) or MCA

6+ years of experience in verification and validation of containerized applications within Linux environments, with a strong focus on edge computing and Kubernetes-based deployments.

Expertise in crafting end-to-end test plans, test cases, and test scenarios tailored to edge-specific constraints, ensuring full coverage of Kubernetes functionality and integration.

In-depth knowledge of Linux operating system fundamentals, including kernel tuning, file systems, networking, and process/resource management for performance and reliability testing.

Hands-on experience with testing Kubernetes clusters, particularly lightweight and edge-optimized distributions such as K3s, MicroShift, with validation of key features like pod scheduling, services, Helm charts, and persistent storage. Skilled in automating test scripts and frameworks using languages like Python or Go, with the ability to test Kubernetes APIs, cluster behavior, and containerized workloads.

Experienced in CI/CD pipeline integration (Azure DevOps, GitHub Actions) for test automation, along with performance benchmarking tools to evaluate application and cluster scalability under load.