Description

You will drive the quality strategy for complex enterprise software.

Responsibilities

• Develop a quality strategy supporting combinatorial complexity from deployments, feature flags, and integrations.
• Enable engineering teams by fostering buy-in and execution of quality practices through clear communication.
• Automate the setup and teardown of AWS-based test stacks for various configurations.
• Manage test data at scale by cloning, anonymizing production data, and generating synthetic data.
• Investigate and implement AI-powered end-to-end testing frameworks to improve coverage.

Required Skills

• 5+ years of quality engineering experience at scale.
• Strong ownership mindset.
• Proficiency in Python and Django.
• Experience with Celery, PostgreSQL, and AWS.
• Hands-on experience with Playwright, Cypress, and Selenium.
• Expertise in designing and implementing end-to-end testing frameworks.
• Any Graduate degree required.

Preferred Skills

• Experience with ElasticSearch, Dagster, or Airflow for data orchestration.
• Experience implementing AI-driven E2E testing solutions.

Key Skills

Education

Any Graduate