About the Team

Join a highly motivated, agile, and collaborative DataGen team delivering impactful data-driven solutions. We’re a people-first culture, passionate about agility, flexibility, and diversity. As Lead QE, you’ll partner with developers, analysts, product owners, and other stakeholders to drive the quality of our innovative web applications and data platforms.

Responsibilities and Impact

• Lead the design, implementation, and continuous improvement of test automation frameworks for full-stack web applications (React, .NET Core, Postgres, NoSQL) and data pipelines (Databricks).
• Define and execute test strategies across UI, API, backend, and data layers, ensuring coverage of functional, integration, regression, and performance scenarios.
• Collaborate closely with developers and DevOps to embed quality in CI/CD pipelines and cloud deployments (AWS).
• Mentor and guide QE team members, fostering best practices in test automation, exploratory testing, and quality metrics analysis.
• Participate in architectural and design discussions, influencing solutions for testability, reliability, and scalability.
• Drive adoption of shift-left testing, BDD, and test data management practices.
• Design and lead performance and load testing for APIs, web applications, and data processing workloads.
• Analyze test results, defects, and quality KPIs to provide actionable insights and continuous improvement recommendations.
• Act as a quality champion within the DataGen team, communicating effectively with technical and non-technical stakeholders.
• Support migration and integration testing for legacy to AWS cloud transitions.

What We’re Looking For

Basic Required Qualifications

• 6+ years of hands-on experience in software testing and test automation for modern web applications and data platforms.
• 2+ years in a lead/mentoring QE or SDET role, driving quality initiatives and team delivery.
• Strong programming skills in C# or Python (or Java), with experience automating tests for .NET Core backends and React frontends.
• Proven experience with Playwright for web UI test automation.
• Experience with automation frameworks (e.g., Selenium, Cypress, REST-assured, Postman, pytest, xUnit).
• Experience testing REST APIs, microservices, and data pipelines (ETL/ELT), including validation of large datasets in SQL and NoSQL databases.
• Hands-on experience with Databricks, especially in developing and testing within Notebook/Jupyter environments.
• Solid understanding of CI/CD practices, with hands-on exposure to AWS services and pipeline automation.
• Experience with performance testing tools (e.g., JMeter, k6, LoadRunner) and analysis of results.
• Strong knowledge of SQL (Postgres) and familiarity with NoSQL databases.
• Excellent communication, leadership, and problem-solving skills.
• Strong English language skills.

Additional Preferred Qualifications

• Experience with BDD frameworks (Cucumber, SpecFlow, Behave, etc.).
• Exposure to GenAI or LLM models testing.
• Experience with test data management and synthetic data generation.
• Interest in Data Science/Machine Learning and testing data-driven solutions.
• Experience with AWS services (S3, ECS, Lambda, etc.), Docker, and containerized testing.
• Experience with monitoring, profiling, and debugging tools.
• Bachelor’s or higher qualification in Computer Science, Information Systems, or equivalent.