QA Architect/Senior SDET

AI-Driven QA Architect / Senior SDET (Azure & Autonomous Testing)

We are building a next-release cloud platform for managing multi-tenant Microsoft Azure environments and are looking for a hands-on QA Architect / Senior SDET. Your mission is to design a scalable test automation architecture from the ground up and transition its day-to-day execution and upkeep to autonomous AI agents.

Responsibilities
define the end-to-end quality blueprint (UI, API, integration, regression, and baseline performance) with structured, machine-readable test plans designed for LLM consumption.
build a modular automation framework (Playwright / Python or TypeScript) and embed it directly into Azure Pipelines with automated quality gates and isolated test environment provisioning.
configure AI orchestration using Azure OpenAI / AI Foundry (or equivalent). Connect agents to Azure Boards and Azure Repos so they can interpret new tickets, generate test scripts and mock data, triage failures, and submit Pull Requests for human review.
deploy test runners and agent workers via Azure Functions or Azure Container Apps. Set up logging (Application Insights) and strict human-in-the-loop approval controls to keep AI-generated code safe and reliable.
deliver clear architectural docs, reusable prompt/skill libraries, and runbooks so the internal engineering team can oversee the AI-operated QA pipeline smoothly.

Requirements:
proven track record of architecting test frameworks from scratch using Playwright, Cypress, or similar tools, backed by solid Python or TypeScript/JavaScript skills.
experience integrating LLMs into engineering or QA pipelines prompt engineering, repository-aware code generation, self-healing locators, or multi-step agent orchestration.
experience with Azure DevOps (Boards, Repos, Pipelines, Test Plans), Git workflows, and deploying serverless/containerized workloads in Azure (IAM, secrets management, monitoring).
ability to work autonomously and deliver against clear, milestone-based project goals.

Nice to have:
experience testing multi-tenant B2B SaaS or cloud management/FinOps tools
familiarity with Azure AI Foundry, GitHub Copilot / MCP (Model Context Protocol), and Azure Monitor