GreyOrange - Software Development Engineer III - Test - Automation Testing

About the Role:

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 Framework Development and Automation: Design, develop, and maintain scalable automation frameworks and intelligent testing utilities.

- AI/ML Validation: Validate complex AI/ML workflows, Agentic AI systems, APIs, and data pipelines.

- Process Efficiency: Build automation utilities and tools to eliminate manual QA efforts and drive operational productivity.

- Backend and System Testing: Perform comprehensive API, backend, database, and system-level validation.

- Cross-Functional Collaboration: Partner closely with Product, Software Engineering, and AI/ML teams during early design and development phases.

- Debugging and Support: Troubleshoot complex system issues and act as the first line of technical debugging for development teams.

- Quality Innovation: Participate in Agile cycles, driving continuous improvements in automation, validation, and intelligent testing 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:

1. Hands-on experience working with AI/ML-based systems or intelligent automation platforms.

2. Exposure to Agentic AI workflows, LLM-based architectures, or autonomous agents.

3. Demonstrated track record of creating custom tools and utilities to automate complex manual workflows.

Technical And Automation Toolkit:

1. Strong foundational knowledge of API testing, backend validation, and framework architecture.

2. Hands-on expertise with tools such as PyTest, Selenium, Robot Framework, Postman, or similar technologies.

3. Proficient in Unix/Linux environments, shell scripting, and database validation (SQL).

Analytical Skills:

1. 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.

(ref:hirist.tech)