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Role: Quality Assurance Engineer Location: Work from Home Employment type: Full-time Profile overview: The company is hiring for a QA Engineer to drive automation-first, AI-assisted testing across our backend platform. You'll spend most of your time building Playwright suites, designing AI agents, and shaping what quality looks like in an agent-driven SDLC — with manual testing reserved only for exploratory and edge cases automation can't yet reach. Responsibilities: ● Build and own automated test suites using Playwright for end-to-end, UI, and API testing across backend services and platform workflows. ● Use Claude Code (agents, skills, MCP servers) as a daily driver — generating test cases, test data, and edge-case scenarios from requirements, PRs, and production signals — shrinking test authoring time from days to hours. ● Design AI agents that own slices of the SDLC — from PR-triggered test design to autonomous regression triage and release sign-off. ● Build custom Claude skills and MCP servers that integrate QA workflows with Jira, CI/CD pipelines, test data stores, ScyllaDB/Kafka inspection tools, and observability platforms. ● Apply AI-driven defect prediction, root cause analysis, and flaky test detection to focus effort where it matters most. ●Working with Selenium, Java, for automation testing ●API Automation testing, manual testing ● Embed automated quality gates into CI/CD (GitHub Actions) — including AI-powered code review, test impact analysis, and regression triggers — to shift quality left. ● Validate datasets using SQL across transactional and analytical systems. Requirements: ● Minimum 5 years of professional experience as a QA Engineer ● Strong hands-on experience with Playwright for UI and API automation, including Page Object Model and TestNG (or similar) framework design. ●Professional experience with Java and Selenium, TestNG for automation testing ● Proficiency in Java, JavaScript/TypeScript with solid API testing skills using Postman/Insomnia. ● Strong SQL for data validation, plus working knowledge of NoSQL databases (MongoDB, ScyllaDB, or DynamoDB). ● Working understanding of API/backend test lifecycles and exposure to the AWS cloud platform. ● CI/CD experience with GitHub Actions, Jenkins, or equivalent. ● Experience of building AI Agents for software testing purpose. ● Working fluency in LLM-powered development workflows (Claude Code, Cursor, Copilot, or similar) for test generation, debugging, and review. ● Grasp of AI/ML fundamentals — prompt engineering, context management, and evaluating LLM outputs for correctness and reliability. ● Agile/Scrum experience and clear async communication for remote, cross-functional work. ● Built MCP servers or custom Claude skills/tools to extend AI agent capabilities. ● Exposure to agentic test orchestration — autonomous agents that plan, execute, and adapt test runs based on code or requirement changes. Preferred skillsets: ● Experience measuring AI-assisted productivity metrics (test creation velocity, coverage uplift, defect escape rate).