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Senior Software Development Engineer in Test – AI-Assisted Testing
Tight Line. Translate user stories and product requirements into clear test cases covering expected behaviour, edge cases and failure scenarios .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in QA and test automation, with a strong focus on designing meaningful tests, executing functional and regression tests, and utilizing AI agents for test optimization. Capable of mentoring junior colleagues while collaborating effectively with cross-functional teams to ensure quality and coverage.
Highest-signal resume keywords
5+ Years Experience In QATest Automation FrameworksHands-On Programming In PythonExperience With LLMs Or AI AgentsClear Written And Spoken English
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Software TestingTest Case DesignFunctional TestingIntegration TestingRegression TestingDefect InvestigationAutomated TestingCI/CD IntegrationAPI TestingWeb Application Testing
Soft Skills
MentoringCollaborationCommunication
Tools & Technologies
Test Automation FrameworksCI/CD ToolsAI AgentsLLMs
Industry Keywords
Quality EngineeringSaaS PlatformsClient-Server BehaviourSecurity Considerations
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Translate user stories and product requirements into clear test cases covering expected behaviour, edge cases and failure scenarios
- Execute functional, integration and regression tests across web applications, APIs and backend services
- Investigate defects, document reproducible findings and work with developers to verify fixes
- Prepare release certification reports summarising test results, coverage, outstanding defects and release risks
- Write and maintain automated tests using the existing framework and contribute to CI/CD integration
- Use LLMs and AI agents for test case generation, defect analysis, regression testing and test optimization
- Review AI-generated outputs for accuracy, relevance and coverage
- Collaborate with developers, product colleagues and stakeholders to clarify requirements and communicate quality concerns
- Mentor junior colleagues through practical guidance, test reviews and knowledge sharing
- Recommend improvements to testing framework, AI workflows and quality processes
- Spend approximately 70% of the role on hands-on delivery and 30% mentoring junior colleagues; the position has no direct reports
Requirements
What you’ll need- 5+ years of experience in QA, quality engineering or software development
- Strong software testing and test automation experience
- Ability to design meaningful tests from requirements and explain how test results inform release decisions
- Hands-on programming experience in an object-oriented language; Python preferred
- Practical experience with test automation frameworks and CI/CD tools
- Strong understanding of web browsers, client-server behaviour, APIs and security considerations relevant to testing
- Experience testing web-based products, SaaS platforms or comparable applications
- Practical experience using LLMs or AI agents in testing, from professional work or a practical project
- Ability to explain personal contribution, evaluate AI-generated results and identify limitations
- Experience supporting or mentoring less experienced engineers
- Clear written and spoken English for collaboration with an internationally distributed team
- Ability to work consistently during the required US Pacific schedule
- Previous production deployment of autonomous testing agents or agentic CI/CD pipelines is not required