Senior QA Engineer_POD

QA Engineer – Data Management & Platforms

Join our team as a QA Engineer to support the deployment and monitoring of quality standards across our Data Management & Platforms organization. You’ll collaborate with product, UX/UI, and development teams to develop a comprehensive Quality Assurance framework, drive quality throughout the data product lifecycle, and ensure the delivery of reliable products to downstream consumers.

• Lead and participate within QA teams through management of daily activities, training, and mentoring.
• Collaborate with stakeholders to improve quality standards and testing procedures.
• Develop test plans, test scenarios, test cases, and test data for various testing activities.
• Guide testing methodologies across teams and projects.
• Define, implement, and maintain standard QA processes and methodologies for cloud, data, and application engineering efforts.
• Collaborate with Product Owners and UX/UI Designers to understand use cases and develop appropriate test plans.
• Work with Product and Development Leads to develop and implement a testing roadmap for the product.
• Develop quality standards for test automation, unit, functional, system integration, performance, and user acceptance test phases.
• Own end‑to‑end QA automation and manual quality assurance processes and execution.
• Define and implement KPIs to support end‑to‑end automation in the product development lifecycle.
• Coordinate and manage platform releases by overseeing test case execution, documenting defects, and managing release deployment.
• Troubleshoot quality issues and modify test procedures when applicable.

Bachelor’s degree in Information Systems, Computer Science, Engineering, or a related field.

• 6–10 years of experience as a QA Engineer or in a similar role.
• Deep knowledge of QA methodologies, tools, and techniques.
• Experience with Dev Ops principles and Agile environments.
• Excellent communication skills and ability to collaborate with stakeholders.
• Previous experience as a test automation engineer across development stages and integration with CI/CD pipelines (e.g., unit, integration, load tests).
• Proficiency in Python programming.
• Experience testing PySpark code and APIs.
• Experience with Python BDD frameworks and docker containers.
• Strong analytical thinking, problem‑solving skills, and attention to detail.

• QA management experience.
• Experience with professional software engineering practices and best practices across the full software development life cycle.
• Experience improving product test coverage and effectiveness.

Salary range: $150,000 – $170,000 per year. Compensation decisions are based on skill set, experience, and business needs. Eligible for discretionary bonus.

As a full‑time employee (or hourly employee working >30 hours per week), you are eligible for health, dental, vision, life insurance, and disability plans, with benefits commencing on day one. After 30 days, you qualify for the Company 401(k) Plan. Additional benefits include 11 paid holidays, 12 weeks of parental leave, and a flexible PTO policy for sick or vacation time.

Fractal provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.