Senior Software Engineer in Test

Sr. Software Engineer in Test - 11540

What You’ll Do

• Define and implement modern quality engineering practices, focusing on automation, continuous integration, and intelligent validation—particularly for back-end APIs and systems integration workflows.
• Own the quality of complete product modules, ensuring 100% regression automation by integrating AI-powered test generation and maintenance tools (e.g., Amazon Bedrock, Google Gemini, or Coupa’s internal MCP platform).
• Design scalable and resilient automation test scripts across unit, integration, and UI layers, with support from AI copilots like GitHub Copilot to speed up script development and suggest edge-case scenarios.
  Perform AI-assisted code reviews to ensure maintainability, code quality, and intelligent test coverage, using platforms like Sentinel for pattern-based test gap analysis and redundancy detection.
• Collaborate with product managers and developers to clarify functional and technical requirements, leveraging NLP-based tools to assess testability and auto-generate traceable test cases.
• Actively participate in Agile meetings including sprint planning, stand-ups, and retrospectives.
• Diagnose and resolve issues in complex systems through AI-powered observability, Jira AI assistant & other AI tools and log analysis tools, enabling rapid root cause identification and failure prediction.
• Leverage a wide range of open-source and AI-enhanced testing frameworks to continuously improve automation tooling and testing strategy.
• Collaborate with cross-functional teams to deliver high-quality, on-time releases, supported by predictive quality metrics and risk-based testing recommendations.
• Serve as a champion of AI-first quality practices, advocating for continuous improvement and embedding quality across every phase of development.

What You Will Bring to Coupa

Bachelor’s degree in Computer Science or related field.
5+ years of experience as an SDET or Software Engineer with a strong automation background.
Proficient in Java, Python, or Ruby with a solid grasp of data structures and algorithms.
Demonstrated ability to use AI tools (e.g., GitHub Copilot, Amazon Bedrock, Gemini) to accelerate test automation, generate test cases, and improve code quality.
Experience building and maintaining test frameworks, with a focus on AI-driven test optimization and maintenance.
Strong knowledge of QA methodologies, TDD/BDD (e.g., Cucumber, Selenium, Appium), and REST API testing.
Familiar with CI/CD tools like Jenkins, Maven, or TeamCity; experience integrating AI tools into pipelines is a plus.
Strong problem-solving and debugging skills; ability to leverage AI-powered diagnostics to speed up root cause analysis.
Excellent communication and collaboration skills; passionate about driving quality through intelligent automation.

Experience Level