Role Specification Role Description We are looking for a Test Lead to define and drive the end-to-end QA strategy for our AI-powered platform. This role involves testing components across the stack—including ML models/backend, backend services, and frontend interfaces—to ensure accuracy, performance, security, and reliability. You will lead a team of testers, collaborate cross-functionally, and build automation pipelines aligned with CI/CD practices. Role Title SW QA Engineer/Tester Role Purpose What the role entails (Key Responsibilities) Test Strategy & Planning • Define and own the comprehensive test plan for ML inference, backend workflows, and frontend user experience. • Identify test scenarios for real-time sensor data pipelines, anomaly/event detection, historical playback, and UI s/configs. • Design test cases with focus on modularity, reusability, and traceability to requirements. • Define and track test coverage, maintain regression test suites, and handle test data design. ML Model Testing • Validate ML outputs (event classification, anomaly scores) against labeled test datasets. • Perform accuracy testing, A/B comparison, drift detection, and model regression checks. • Test model integration in real-time pipelines (latency, fault tolerance, failover behavior). Backend & API Testing • Validate backend APIs that consume ML outputs, transform data, and expose events to the UI. • Test REST/gRPC endpoints, data transformations, streaming services (Kafka), and storage layers (PostgreSQL, Redis). • Design load, concurrency, and recovery tests for backend services. Frontend Testing • Verify UI correctness for event visualization, timeline navigation, and control tools. • Automate UI workflows using tools like Cypress, Playwright, or Selenium. • Ensure responsiveness, accessibility, and data consistency in real-time dashboards. Automation & DevOps Alignment • Lead setup of test automation pipelines integrated with CI/CD (GitHub Actions, GitLab CI, etc.). • Own the implementation of smoke, sanity, regression, and performance suites. • Collaborate with DevOps for observability in test environments, test parallelization, and reporting. Leadership & Collaboration • Mentor QA engineers and drive best testing practices across the platform. • Collaborate with ML, backend, frontend, and product teams to review requirements and raise quality gates. • Drive root cause analysis and support release readiness with QA sign-off. What we are looking for in you (Skills, Knowledge, Special Attributes, Mobility) • 4 years in software testing with at least 1 years in a lead role. • Experience testing ML model pipelines, data-driven APIs, and real-time UI platforms. • Strong command over test design techniques, risk-based testing, and shift-left testing practices. • Proficient in Python or JavaScript for writing automation scripts. • Hands-on with tools such as Postman, JMeter, Pytest, Cypress, or Playwright. • Familiarity with Kafka, REST/gRPC, Docker, and Linux environments. • Knowledge of CI/CD, test versioning, and defect lifecycle management tools (e.g., JIRA, TestRail). • Experience with model explainability testing (SHAP, LIME) or model monitoring tools. • Exposure to edge device testing, cloud deployments (GCP), and real-time event handling systems. • Knowledge of performance engineering and security testing basics. Location Aurangabad