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Senior Software Engineer - Embedded Testing(Automation)

Stryker
Gurugram, IND
Full-time
Senior · 7+ years experience
Discovered 6 days ago
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Free

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  • 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.
  • 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.
  • 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.

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