QA Engineer

Job Summary

It is an AI-powered supply-chain SaaS platform focused on demand forecasting, inventory planning, purchase/replenishment automation, distribution planning, and inventory visibility. It uses AI/ML to help D2C, FMCG and other brands reduce stock-outs and overstocking. Design, build, and maintain automation suites across UI, API, backend services, and LLM workflows. Create robust frameworks from scratch using any modern automation stack. Automate test coverage across microservices, workflows, and high-throughput pipelines. Define and implement full-stack test strategy covering functional, regression, sanity, smoke, performance, and integration testing. Write automation for highly dynamic datasets, multi-agent flows, async pipelines, and K8s-based deployments. Leverage AI-based QA tools to accelerate test creation and coverage. Build intelligent test bots for LLM-driven workflows. Set up validation pipelines for agentic flows using both rules + AI models. Integrate automation into CI/CD (GitHub Actions / Argo / Jenkins). Work closely with DevOps to run tests inside EKS, staging, and preview environments. Debug issues across distributed systems, logs, and Docker-based environments. Work closely with product, backend, frontend, and ML teams and be the automation guardrail for all releases. The company is building the world s most advanced AI-driven supply-chain operating system forecasting, procurement, distribution, planning, and intelligent automation at massive scale. Our platform handles billions of data points, multi-agent LLM workflows, real-time orchestration, and mission-critical decision automation for enterprise brands. You will be the owner of test automation across multiple product modules (Forecast Engine, Procurement Agent, Distribution Engine, Workflow Builder, Vendor Portal, etc.). Your role ensures bulletproof releases, fast feedback cycles, zero regression, and deep automation coverage for both traditional backend systems and LLM-powered modules. If you ve built automation using Selenium, Playwright, Cypress, Appium, PyTest, JUnit, etc. - great. If you ve used new-age AI-powered automation tools (e.g., Cerbos, Waldo, QA Wolf, Testim.io, Mabl, etc.) - big plus.

Responsibilities

• Design, build, and maintain automation suites across UI, API, backend services, and LLM workflows.
• Create robust frameworks from scratch using any modern automation stack.
• Automate test coverage across microservices, workflows, and high-throughput pipelines.
• Define and implement full-stack test strategy covering functional, regression, sanity, smoke, performance, and integration testing.
• Write automation for highly dynamic datasets, multi-agent flows, async pipelines, and K8s-based deployments.
• Leverage AI-based QA tools to accelerate test creation and coverage.
• Build intelligent test bots for LLM-driven workflows.
• Set up validation pipelines for agentic flows using both rules + AI models.
• Integrate automation into CI/CD (GitHub Actions / Argo / Jenkins).
• Work closely with DevOps to run tests inside EKS, staging, and preview environments.
• Debug issues across distributed systems, logs, and Docker-based environments.
• Work closely with product, backend, frontend, and ML teams and be the automation guardrail for all releases.
• You will be the owner of test automation across multiple product modules (Forecast Engine, Procurement Agent, Distribution Engine, Workflow Builder, Vendor Portal, etc.).
• Your role ensures bulletproof releases, fast feedback cycles, zero regression, and deep automation coverage for both traditional backend systems and LLM-powered modules.
• If you ve built automation using Selenium, Playwright, Cypress, Appium, PyTest, JUnit, etc. - great.
• If you ve used new-age AI-powered automation tools (e.g., Cerbos, Waldo, QA Wolf, Testim.io, Mabl, etc.) - big plus.