Senior Software Developer in Test (AI Portfolio)
Summary
Senior SDET building and maintaining automated UI/API test suites for Vena's agentic AI products, validating model accuracy, consistency, and performance, and using GenAI/LLM tools to boost automation in CI/CD. Core stack: Playwright/RestAssured-style frameworks, SQL, and Java/JS/TS/C#/Python.
- Analyze functional and technical requirements to define comprehensive test strategies and automation needs
- Design, write, maintain, and manage automated UI and API test suites
- Contribute to building and enhancing scalable automation frameworks (e.g., Playwright, Rest-Assured)
- Identify, plan, and execute exploratory, functional, integration, performance, and regression tests
- Collaborate with development and product teams to validate testing requirements and optimize test coverage
- Champion best practices for automation, test data management, CI/CD integration, and code quality
- Monitor, troubleshoot, and optimize automation pipelines and test frameworks for dependability, scalability, and stability
- Perform root cause analysis and support teams in identifying and preventing defects
- 5+ years’ experience in QA/QE and test automation development roles, within a fast-paced Agile environment
- AI Testing Expertise: Proven track record testing AI/ML products (including prompt evaluation, bias detection, or model boundary testing)
- Hands-on experience integrating AI tools or LLM APIs into CI/CD pipelines to accelerate test execution and automatically detect flaky tests.
- Strong understanding of software testing methodologies, automation design patterns, and the fundamentals of high-quality test case development
- 3+ years of hands-on experience with at least one automation framework for both UI and API test automation (Playwright, Cypress, Selenium, RestAssured, RestSharp, Pytest, etc.)
- Hands-on experience with version control, issue tracking, and test case management tools (GitHub, Gitlab, JIRA, Xray, Zephyr, Qase, etc.)
- Proficiency with relational databases and data validation (SQL, MS SQL, Oracle, GraphQL, or DB2)
- Proficiency in one or more programming languages (Java, JavaScript, Typescript, C#, or Python)
- Ability to think critically about system architecture and assess the impact of product changes across components
- Strong troubleshooting, analytical, and problem-solving skills
- Exceptional written and verbal communication skills, with the ability to articulate both technical and non-technical concepts
- Interest in AI and willingness to explore AI-driven solutions to enhance performance and drive efficiencies
*Our salaries are tailored to roles, levels and locations. Your individual pay within this range is influenced by factors like work location, skills, experience and education. As you progress in your role, your compensation may adapt, offering flexibility for growth beyond initial levels. For specifics, your recruiter will provide details and address any questions during the hiring process.