Software Development Engineer in Test (SDET) AI & Full Stack

Job Description

Role & responsibilities :

• Design, execute, and maintain comprehensive test cases for new features and enhancements.
• Perform Functional, Regression, Exploratory, White-box, and Black-box testing.
• Analyze product requirements and identify edge cases, missing scenarios, and potential risks.
• Validate complete end-to-end user journeys across the platform.
• Verify bug fixes and perform impact analysis before releases.
• Conduct manual testing in staging and post-deployment environments.
• Provide final QA sign-off and recommend production readiness.
• Build and maintain automation test suites using Playwright, Selenium, Cypress, or similar frameworks.
• Automate regression, smoke, and critical business workflows.
• Validate backend logic, APIs, databases, scheduled jobs, and production deployments.
• Analyze logs and collaborate with developers for root cause analysis.
• Test AI-powered features for accuracy, relevance, consistency, safety, and user experience.
• Evaluate prompts, multi-turn conversations, guardrails, and prompt injection scenarios.
• Create AI evaluation (eval) scenarios to detect regressions.
• Participate in sprint planning, feature discussions, and release planning.
• Drive continuous improvements in QA processes, automation, and product quality.

Must-Have Skills:

• 2-4 years of experience in Software Testing / SDET.
• Strong understanding of SDLC and STLC.
• Experience in both Manual and Automation Testing.
• Hands-on experience with Playwright, Selenium, Cypress, or similar tools.
• Strong analytical, debugging, and problem-solving skills.
• Ability to design comprehensive test scenarios.
• Excellent communication and collaboration skills.

Good-to-Have Skills:

• API Testing using Postman, Swagger, or similar tools.
• SQL for database validation.
• Basic programming knowledge in JavaScript, Python, or Go (Golang).
• Exposure to React or Node.js applications.
• Familiarity with Docker, Linux, Git, and CI/CD pipelines.
• Knowledge of LLMs, Prompt Engineering, AI Testing, AI Evals, and Guardrail Testing.
• Experience with log analysis and production issue investigation.
• Prior experience working on E-commerce products.

What We're Looking For:

• Strong analytical mindset with excellent problem-solving skills.
• Passion for exploring edge cases and improving software quality.
• Ownership-driven approach with attention to detail.
• Curiosity to understand systems across the technology stack.
• Quick learner with a collaborative mindset.
• Interest in both traditional QA and AI Quality Engineering.

More Info

Education