SDET III

As an SDET III, you will be the bridge between development and quality, leveraging cutting-edge Generative AI and Autonomous Testing tools to accelerate our release cycles. You won't just be "testing" code; you will be building intelligent systems that monitor, diagnose, and repair the testing lifecycle.

Responsibilities:

• AI-Driven Framework Development: Design and maintain scalable automation frameworks (Java/Python) integrated with AI agents for self-healing scripts and autonomous test generation.
• Prompt Engineering for QA: Utilize LLMs (GitHub Copilot, Gemini) to generate complex test data, synthetic datasets, and boilerplate automation code.
• Creating network simulations (E2E Integration tests): Develop strategies for validating E2E integrations. A network simulator that can accommodate different datasets for multiple customers and predict if all integrations work as expected.
• Shift-Left and Observability: Integrate testing into CI/CD pipelines (Github Actions/GitLab/Jenkins) and utilize production observability (logs/metrics) to inform test design.
• Agentic Workflows: Orchestrate multi-agent AI systems that can autonomously explore the UI, discover edge cases, and report bugs without human intervention.

Requirements:

• Experience: 6-10 years in Software Engineering/SDET roles, with at least 1-2 years specializing in AI/ML-based automation.
• Coding Mastery: Deep proficiency in at least one object-oriented language and experience with "Pipeline as Code. "
• Problem Solving: Ability to debug complex distributed systems and microservices architectures.
• Education: B. S. / M. S. in Computer Science, Data Science, or a related technical field.

Soft Skills:

• Strategic Thinking: Moving beyond "Pass/Fail" to evaluate product "Quality of Experience. "
• Adaptability: A "learn-it-all" mindset to keep up with the monthly evolution of AI tooling.
• Communication: Ability to explain technical risks of AI outputs to non-technical stakeholders.

Technical Toolkit (2026 Standards):

• Languages: Java, Python, JavaScript, or C#.
• DevOps and CI/CD: Docker, Kubernetes, GitHub Actions, GitLab CI AI.
• Assistants: GitHub Copilot, Google Duet, or custom RAG-based QA bots.
• Frameworks: Selenium, Playwright, Cypress, Appium (Mobile), REST-assured, TestNG.
• Cloud Platforms: GCP, AWS, Azure.