Engineer IV , QA

Overview

Lead a team of QA Engineers and define the QA strategy for the Forecasting project, focused on time-series forecasting and AI-powered features at Anaplan.

What you'll do

• Lead, mentor, and grow high-performing QA Engineers across multiple stream aligned teams.
• Define and drive the overall QA strategy for the Forecasting project, with a focus on time-series forecasting.
• Oversee the design, development, and maintenance of automated test frameworks.
• Guide the team in implementing and executing robust test cases for AI-powered features and APIs.
• Champion the use of BDD frameworks, such as Gherkin, to create clear, concise, and maintainable tests.
• Ensure the team effectively tests and validates RESTful APIs to meet high standards of quality and performance.
• Collaborate with product managers, data scientists, and engineering leads to align on quality standards and release criteria.
• Oversee the identification, documentation, and tracking of bugs and inconsistencies in AI/ML systems.
• Drive improvements to the CI/CD pipeline to ensure AI models are continuously tested and deployed with confidence.

What you'll need

• 8+ years of experience testing and assuring the quality of complex platform, infrastructure, or data-centric systems.
• Strong proficiency in Python.
• Proven experience leading or mentoring a QA team in a fast-paced technical environment.
• Deep understanding of machine learning concepts and a proven track record of testing ML models, particularly in time-series forecasting.
• Expertise with testing frameworks such as pytest.
• Strong experience with Behavior-Driven Development (BDD) and Gherkin.
• In-depth knowledge of API testing and validation.
• Proficiency in modern software development practices (testing, code review, CI/CD).
• A proven track record of delivering complex technical projects on time with high quality.
• Excellent leadership, communication, and interpersonal skills.

Nice to have

• Experience with performance, scalability, and security testing of AI systems.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and their AI/ML services.
• Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.
• Experience with strategic planning and roadmap development for a QA function.
• A Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Details

• Location: Gurugram, India.