Senior Software Engineer - Embedded Testing(Automation)

Work Flexibility: Hybrid What you will do: Test Multi-Layer Applications : Validate web applications, REST APIs, and embedded software communication blocks (Wi. Fi, Ethernet, Serial RS-232, and CAN protocols). Build Test Automation : Design, deploy, and scale custom test automation harnesses and frameworks from scratch, primarily utilizing Python and Pytest.

Pipeline Integration : Configure and integrate automated test suites into GitLab CI/CD pipelines for continuous verification and regression testing.

Requirements

& Lifecycle Management : Trace, link, and map software requirements to test cases using Jira and Jama Connect to ensure full verification coverage. Run Code Reviews : Evaluate peer automation code to maintain script reliability, clean execution, and high framework standards. Manage V&V Environments : Set up target test environments for Verification & Validation (V&V) activities while maintaining tracking documentation compliant with regulatory bodies (like the FDA) and W3C standards.

Collaborate Across Teams : Work alongside local and distributed engineering teams to improve overall product testability, toolsets, and continuous delivery flows. What you need: Required Qualifications: Education : Bachelor's degree in Engineering (Computers, Electronics, Telecommunications, or equivalent). Core Experience : 4 to 7 years of hands-on experience covering web application testing, API testing, and embedded software systems.

Automation Frameworks : Proven track record of building automated test frameworks from the ground up using Python (Pytest) or Java (Selenium/Test. Complete). Tools & Lifecycle : Strong hands-on experience using Jira for bug tracking/agile execution and Jama Connect for requirements management and traceability matrices.

CI/CD & Source Control : Working knowledge of GitLab for source code management and pipeline automation tracking. Technical Tooling : Strong proficiency with SQL database commands, software IDEs, debugging tools, and cloud-based cross-browser testing platforms (such as Sauce Labs). Protocol Knowledge : Practical experience validating communication interfaces, data paths, and network protocols.

Preferred Qualifications

AI-Assisted Testing : Direct exposure to AI-driven test tools, self-healing automation engines, or LLM-driven test generation. Cloud Ecosystems : Foundational knowledge of Azure or AWS cloud infrastructure. Advanced Testing : Experience executing performance validation (via JMeter) or basic security testing. Hardware Integration : Experience designing physical setups or fixtures to test combined hardware and software blocks.

Agile Execution : Comfort working in fast-paced Agile environments with sharp project timelines and technical documentation updates. Travel Percentage: 20%