SDET III

GreyOrange is looking for an AI/ML-focused SDET III to build and scale intelligent quality engineering systems for next-generation warehouse automation products. This role goes beyond traditional automation testing and focuses on validating AI/ML-driven workflows, agentic AI systems, autonomous decision-making pipelines, and automation utilities. The ideal candidate should have strong expertise in test automation, AI/ML systems, backend validation, and building utilities/frameworks that reduce manual effort and improve engineering efficiency. Knowledge of warehouse automation, robotics, or supply chain systems is a plus.

Responsibilities:

• Design, develop, and maintain scalable automation frameworks and intelligent testing utilities.
• Validate AI/ML workflows, agentic systems, APIs, and data pipelines.
• Create automation utilities to reduce manual QA efforts and improve operational efficiency.
• Work closely with product, engineering, and AI/ML teams during design and development phases.
• Perform API, backend, database, and system-level testing.
• Debug complex issues and act as the first level of troubleshooting for development teams.
• Participate in Agile development cycles and contribute to continuous quality improvements.
• Drive innovation in automation, validation, and intelligent testing practices.

Requirements:

• 5-8 years of experience in SDET/QA automation roles.
• Strong programming and scripting skills in Python.
• Experience working with AI/ML-based systems or intelligent automation platforms.
• Exposure to agentic AI workflows, LLM-based systems, or autonomous agents.
• Experience creating utilities/tools to automate manual workflows.
• Strong understanding of API testing, backend validation, and automation frameworks.
• Hands-on experience with Selenium, Pytest, Robot Framework, Postman, or similar tools.
• Good knowledge of Unix/Linux, shell scripting, and databases.
• Strong analytical, debugging, and problem-solving skills.
• Ability to work in fast-paced product engineering environments.

Good to Have:

• Exposure to MLOps, AI validation frameworks, or data testing.
• Experience working with cloud platforms and distributed systems.