We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.
This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.
THE ROLE
As an AI Quality Automation Engineer on the Master Data Management (MDM) team, you will drive data reliability by building intelligent, automated testing systems for complex data pipelines. Working alongside data engineers, software developers, and enterprise QA teams, you will bridge data infrastructure and high-velocity software delivery. Your mission is to deploy scalable, AI-driven test frameworks that ensure precision across enterprise data assets, directly elevating global data quality and scaling our core data engine.
WHAT YOU'LL DO
- Architect AI-Powered Quality Frameworks: Design and execute automated test suites and AI evaluation frameworks to detect data anomalies early, validate complex pipeline logic, and eliminate manual quality overhead across enterprise data infrastructure.
- Expand the E2E AI Testing Platform: Scale and optimize an end-to-end testing platform using generative AI models and agentic workflows to increase test coverage and accelerate release velocity for core MDM applications.
- Automate Continuous Integration Pipelines: Build resilient CI/CD deployment workflows using GitHub Actions to automate MDM software delivery, ensuring high stability and continuous release velocity.
- Drive Data Precision & Governance: Partner with cross-functional engineering teams to establish automated quality gates, author comprehensive test plans, and define data precision metrics that safeguard enterprise data integrity.
- Enhance Operational Telemetry & Observability: Integrate automated telemetry and real-time monitoring into existing CI/CD pipelines to enable continuous observability, swift error isolation, and peak platform performance.
- Engineer Resilient Quality Sub-Systems: Own the technical design and execution of quality engineering sub-systems, translating intricate data structures into repeatable, automated validation mechanisms.
WHAT YOU BRING
- Experience: 3+ years of professional experience in quality software engineering, test automation development, or data platform testing.
- AI & LLM Integration: Proven expertise with Prompt Engineering, fine-tuning test strategies for Large Language Models (LLMs), and implementing AI-driven test automation frameworks.
- Software Development: Strong proficiency in Python or modern object-oriented programming to engineer modular test suites, custom API automation tools, and validation pipelines.
- DevOps & CI/CD Pipelines: Hands-on experience constructing and managing CI/CD deployment pipelines using GitHub Actions and modern continuous integration tools.
- Data Platform Validation: Demonstrated skill in validating complex enterprise Master Data Management (MDM) systems, data pipelines, and automated regression testing suites.
- Problem-Solving & Collaboration: Demonstrated ability to independently resolve complex technical problems, perform root-cause analysis, and collaborate across functional engineering teams.
- Location: We are primarily an in-office environment and therefore, you will be expected to work from the Prague, Czech Republic office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.
#LIONSITE
WHAT YOU CAN EXPECT FROM US:
- Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.
- Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®!
- Team: We build each other up and set aside ego for the greater good.
And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out purebenefits.com for more information.
ACCOMMODATIONS AND ACCESSIBILITY:
Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at [email protected] if you’re invited to an interview.
OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:
We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.
Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.
Join us and bring your best.
Bring your bold.
Pure and simple.
Skills Required
- 3+ years professional experience in quality software engineering, test automation development, or data platform testing
- Proven expertise with Prompt Engineering and fine-tuning strategies for Large Language Models (LLMs)
- Experience implementing AI-driven test automation frameworks and generative AI model evaluation
- Strong proficiency in Python or modern object-oriented programming
- Hands-on experience constructing and managing CI/CD pipelines using GitHub Actions
- Demonstrated skill validating complex enterprise Master Data Management (MDM) systems and data pipelines
- Ability to perform root-cause analysis, resolve complex technical problems, and collaborate across engineering teams
- Work from Prague, Czech Republic office (on-site)
Everpure Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Everpure and has not been reviewed or approved by Everpure.
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Equity Value & Accessibility — Equity and stock purchase programs are described as meaningful parts of total compensation, with RSUs and an ESPP highlighted as strengths.
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Strong & Reliable Incentives — Sales compensation is structured to support long sales cycles, including policies that pay full commission until the first sale for new or white‑space accounts.
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Healthcare Strength — Health coverage is portrayed as comprehensive, with multiple medical options, fully covered vision, dental PPO choices, mental‑health resources, and company HSA contributions.
Everpure Insights
What We Do
Pure Storage (NYSE:PSTG) helps innovators build a better world with data. Pure's data solutions enable SaaS companies, cloud service providers, and enterprise and public sector customers to deliver real-time, secure data to power their mission-critical production, DevOps, and modern analytics environments in a multi-cloud environment. One of the fastest growing enterprise IT companies in history, Pure Storage enables customers to quickly adopt next-generation technologies, including artificial intelligence and machine learning, to help maximize the value of their data for competitive advantage. And with a Satmetrix-certified NPS customer satisfaction score in the top one percent of B2B companies, Pure's ever-expanding list of customers are among the happiest in the world.
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