Senior QA Engineer_POD

Posted 5 Days Ago
Hiring Remotely in California, USA
Remote
150K-170K Annually
Senior level
Artificial Intelligence • Consulting
The Role
Lead QA efforts for data management and platform products: design test plans, develop automation and manual tests, integrate with CI/CD, define QA processes and KPIs, manage releases, mentor QA teams, and collaborate with product and engineering to ensure high-quality data products.
Summary Generated by Built In

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

QA Engineer - Data Management & Platforms

The Quality Assurance Engineer will join our team and support the deployment and monitoring of quality standards. The QA Engineer will work with engineers across teams to develop a Quality Assurance framework for the entire organization. As a QA Engineer you will be a part of the Data Management & Platforms team and will help drive quality throughout the entire data product lifecycle through collaboration with product and development teams, development of test cases and automation scripts, and analysis of the system to consistently deliver quality products to downstream consumers

Primary Responsibilities:

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 different testing activities

Guide testing methodologies across the teams on all different projects

Provide definition, implementation, and maintenance of standard QA processes and methodologies for cloud, data, and application engineering efforts

Collaborate with Product Owners and UX/UI Designers teams to understand different use cases and develop test plans accordingly

Collaborate with Product and Development Leads to develop and implement a testing roadmap for the product

Work with development teams to develop quality standards for areas such as 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 KPI’s to support end-to-end automation in the product development quality life cycle

Coordinate and manage platform releases by overseeing test case execution, documenting defects, and managing deployment of releases

Troubleshoot quality issues and modify test procedures when applicable

Education:

Bachelor’s degree in a relevant field such as Information Systems, Computer Science, Engineering, etc.

Required Experience and Skills:

6- 10 years of experience working as a QA Engineer or in a similar capacity

Knowledge of QA methodologies, tools, and techniques

Knowledge of DevOps principals

Experience working in an Agile environment

Excellent communication skills and ability to work with the different stakeholders to improve the company’s procedures and to ensure the vision is communicated clearly

Previous experience as test automation engineer at various development stages and integrating with CI/CD pipelines (e.g., unit, integration, load tests)

Proficiency in Python programming

Experience with testing PySpark code and API testing

Experience with test automation frameworks (Python BDD)

Experience with docker containers

Analytical thinking, problem-solving skills, and attention to detail

Preferred Experience and Skills:

QA management experience

Experience working with professional software engineering practices and best practices for the full software development life cycle

Experience improving product test coverage and effectiveness

Pay:

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.  The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.  At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.  A reasonable estimate of the current range is: $150,000 - $170,000. In addition, you may be eligible for a discretionary bonus for the current performance period.

Benefits:

As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time.  You will be eligible for benefits on the first day of employment with the Company.  In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms.   The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.

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

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Hiring Related Queries

India: [email protected]

Outside India: [email protected]

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Skills Required

  • Bachelor's degree in Information Systems, Computer Science, Engineering, or related field
  • 6-10 years of experience as a QA Engineer or similar role
  • Proficiency in Python programming
  • Experience testing PySpark code
  • Experience with API testing
  • Experience with test automation frameworks (Python BDD)
  • Experience integrating test automation with CI/CD pipelines (unit, integration, load tests)
  • Experience with Docker containers
  • Knowledge of QA methodologies, tools, and techniques
  • Knowledge of DevOps principles
  • Experience working in an Agile environment
  • Excellent communication, analytical thinking, problem-solving, and attention to detail
  • QA management experience
  • Experience with professional software engineering practices and full SDLC
  • Experience improving product test coverage and effectiveness

Fractal Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fractal and has not been reviewed or approved by Fractal.

  • Healthcare Strength Health coverage includes medical, dental, and vision along with tax‑advantaged accounts and EAP in the U.S., indicating a broad core package. Feedback suggests core protections exist across regions, though specifics can vary by location.
  • Leave & Time Off Breadth Time‑off programs include generous PTO, paid holidays and sick time, paid volunteer time, and sabbaticals in some areas. Some accounts also describe manager‑approved or flexible PTO approaches alongside hybrid/WFH latitude.
  • Flexible Benefits Work arrangements commonly include remote/hybrid options and flexible schedules. Flexibility is frequently highlighted as part of the overall value proposition.

Fractal Insights

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The Company
HQ: New York, NY
5,262 Employees

What We Do

Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies. Fractal's products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence to assists CEOs, and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions, and Eugenie.ai to find anomalies in high-velocity data & Samya.ai to drive next-generation Enterprise Revenue Growth Management. Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, and recognized as an "Honorable Vendor" in 2021 Magic Quadrant™ for data & analytics by Gartner.

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