Sr. Quality Assurance Automation Engineer - AI Platforms & Solutions

Sr. QA Automation Engineer

Hyderabad - Hybrid

Full-time

We are seeking a highly skilled and experienced Senior QA Automation Engineer to spearhead the quality assurance strategy for our cutting-edge AI platforms and solutions. This is not just about finding bugs; it's about designing and implementing comprehensive automation frameworks to ensure the reliability, scalability, and accuracy of systems that blend traditional software with complex AI/ML components and automated workflows.

You will play a critical role in validating everything from core platform features to the intricate logic of AI agents designed by our Subject Matter Experts. If you are passionate about automation, possess a keen eye for detail, and are excited by the unique challenges of testing AI-driven systems, this is your chance to make a significant impact.

What You'll Do:

• Design & Develop Automation Frameworks:

  Architect, build, and maintain robust, scalable, and efficient test automation frameworks (primarily using Python) for our AI platforms, workflow tools, and potentially the AI agents themselves.

• Implement Comprehensive Test Strategies:

  Develop test plans, test cases, and automated scripts covering functional, integration, regression, performance, and API testing for complex applications.

• Focus on AI/Workflow Quality:

  Devise and implement specific testing approaches for AI-driven features and automated workflows, considering aspects like data validation, logical consistency of agent behavior, and accuracy of outcomes.

• Integrate Testing into CI/CD:

  Embed automated testing seamlessly into our CI/CD pipelines to enable rapid feedback loops and ensure continuous quality.

• Execute & Analyze:

  Run automated test suites, analyze results, identify defects, and work closely with development, product, SME, and solution engineering teams to troubleshoot and resolve issues.

• Tooling & Innovation:

  Evaluate, recommend, and implement new QA tools, technologies, and methodologies to enhance testing efficiency and coverage, particularly for AI/ML contexts.

• Maintain & Optimize:

  Continuously improve and maintain existing test suites and frameworks, ensuring they remain effective as platforms evolve.

• Mentor & Lead:

  Provide technical guidance and mentorship to junior QA team members (as the team grows) and champion QA best practices across engineering.

What You MUST Bring:

• Extensive QA Automation Experience:

  5+ years of hands-on experience designing, developing, and maintaining automated test frameworks and scripts for complex web applications or platforms.

• Strong Python Automation Skills:

  Proven proficiency in Python for test automation is essential. Experience with relevant Python testing libraries (e.g., Pytest, Selenium WebDriver bindings).

• Framework Development Expertise:

  Demonstrable experience building test automation frameworks from scratch or significantly enhancing existing ones.

• API Testing Mastery:

  Strong experience testing RESTful APIs using tools like Postman, Requests (Python library), or similar.

• CI/CD Integration:

  Experience integrating automated tests into CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions).

• Database & SQL Knowledge:

  Proficiency in SQL for data validation and test data setup.

• Agile Environment Experience:

  Proven ability to work effectively in Agile/Scrum development cycles.

• Analytical & Debugging Skills:

  Excellent problem-solving skills with a knack for isolating the root cause of defects in complex systems.

Bonus Points If You Have:

• Experience Testing AI/ML Systems

  : Direct experience or strong theoretical understanding of testing machine learning models, AI-driven workflows, or systems with non-deterministic elements.

• Experience Testing Workflow/Automation Platforms:

  Familiarity with testing low-code/no-code platforms, RPA tools, or business process management (BPM) systems.

• Performance Testing Experience:

  Knowledge of performance testing tools (e.g., JMeter, Locust) and methodologies.

• Cloud Platform Experience:

  Familiarity with testing applications deployed on cloud platforms (GCP preferred).

• Experience in AdTech/MarTech/RevOps Domain:

  Understanding the business context enhances testing effectiveness.

• Experience with Containerization (Docker): Useful

  for setting up test environments.

If you are a seasoned QA automation leader ready to tackle the exciting challenges of ensuring quality in an AI-first world, we want you on our team.

If you are interested? Apply Here