Quality Assurance Lead

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