Quality Assurance Engineer

We are redefining quality engineering by integrating AI-powered testing and intelligent automation into our development lifecycle. We’re looking for a Software Development Engineer in Test (SDET) with 5+ years of experience who can go beyond traditional QA and help build scalable, intelligent, and high-impact test systems.

This role is ideal for someone who enjoys owning quality end-to-end, designing robust frameworks, and leveraging AI to drive productivity gains in testing efficiency.

Key Responsibilities

·      Own end-to-end quality strategy for features and services

·      Design and develop scalable test automation frameworks from scratch

·      Balance manual testing, automation, and AI-driven testing approaches

·      Integrate AI tools for test case generation, defect prediction, and test optimization

·      Contribute to test architecture and engineering best practices

·      Build and maintain CI/CD-integrated test pipelines

·      Collaborate with developers, product managers, and DevOps teams

·      Drive shift-left testing and continuous quality improvements

·      Evaluate and implement AI/ML-based testing frameworks and tools

Must-Have Skills (Non-Negotiable)

·      5+ years in Quality Engineering / SDET role

·      Strong programming skills in Java, Python, JavaScript or TypeScript

·      Hands-on experience with automation tools such as Selenium, Playwright, or Cypress

·      Solid understanding of test design, test architecture, and automation frameworks

·      Experience with API testing, UI testing, and integration testing

·      Exposure to CI/CD pipelines (e.g., Jenkins, GitHub Actions)

·      Hands-on experience with test management and defect tracking tools (Jira, TestRail)

·      Practical experience using AI tools for testing (e.g., test generation, analysis, optimization)

·      Strong problem-solving and debugging skills

·      Ability to own quality strategy and drive execution independently

·      Experience in building or contributing to AI/ML-based testing frameworks

·      Knowledge of LLM-based testing use cases (prompt-based test generation, validation, etc.)

Good-to-Have Skills (Bonus)

·      Exposure to performance testing tools (e.g., JMeter, k6)

·      Experience with cloud platforms (AWS preferred)

·      Understanding of microservices architecture and distributed systems

·      Familiarity with containerization (Docker, Kubernetes)

·      Experience in test data management and service virtualization

·      Contributions to open-source QA/automation projects

What Makes This Role Exciting

·      Be at the forefront of AI-driven quality engineering

·      Opportunity to design next-gen testing frameworks, not just use them

·      High ownership with visibility across teams

·      Hybrid work model with strong engineering culture

Who You Are

·      You think like an engineer, not just a tester

·      You are curious about how AI can transform QA

·      You challenge inefficiencies and automate relentlessly

·      You can balance speed, quality, and scalability"