Senior Software Engineer - Embedded Testing(Automation)

Job description

Work Flexibility

Hybrid 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.

Travel Percentage

20%