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.
