GreyOrange - Software Development Engineer III - Testing

: GreyOrange is seeking an SDET III (AI/ML and Agentic Systems) to build and scale intelligent quality engineering systems for our next-generation warehouse automation products. This role goes beyond traditional test automation, focusing on validating AI/ML-driven workflows, Agentic AI systems, autonomous decision-making pipelines, and developing internal utilities that streamline manual efforts and improve engineering efficiency. Responsibilities: - Design, develop, and maintain scalable automation frameworks and intelligent testing utilities. - Validate complex AI/ML workflows, Agentic AI systems, APIs, and data pipelines. - Build automation utilities and tools to eliminate manual QA efforts and drive operational productivity. - Perform comprehensive API, backend, database, and system-level validation. - Partner closely with Product, Software Engineering, and AI/ML teams during early design and development phases. - Troubleshoot complex system issues and act as the first line of technical debugging for development teams. - Participate in Agile cycles, driving continuous improvements in automation, validation, and intelligent testing practices. Requirements: - 6 - 8 years of progressive experience in SDET or QA Automation roles within fast-paced product engineering environments. - Strong programming and scripting proficiency in Python and Java. AI/ML And Domain Expertise: - Hands-on experience working with AI/ML-based systems or intelligent automation platforms. - Exposure to Agentic AI workflows, LLM-based architectures, or autonomous agents. - Demonstrated track record of creating custom tools and utilities to automate complex manual workflows. Technical And Automation Toolkit: - Strong foundational knowledge of API testing, backend validation, and framework architecture. - Hands-on expertise with tools such as PyTest, Selenium, Robot Framework, Postman, or similar technologies. - Proficient in Unix/Linux environments, shell scripting, and database validation (SQL). Analytical Skills: - Strong analytical, debugging, and problem-solving mindset with attention to system details. Preferred Qualifications: - MLOps and Data: Exposure to MLOps pipelines, AI validation frameworks, or large-scale data testing. - Cloud and Distributed Systems: Experience testing cloud platforms and distributed architectures. - Domain Experience: Prior domain knowledge in warehouse automation, robotics, or supply chain execution systems.