Senior Software Engineer - Embedded Testing(Automation)

What you will do:

• Test Multi-Layer Applications: Validate web applications, REST APIs, and embedded software communication blocks (WiFi, 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/TestComplete).
• 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.