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
The Platform Analytics team sits within the FlashArray and FlashBlade organization and turns rich telemetry from Everpure’s hardware and software into actionable insights.
Focus on hardware and systems analytics, using data from physical devices rather than traditional business metrics.Help engineering and leadership understand fleet health, reliability, and performance so they can make better product and roadmap decisions.Work closely with hardware, software, and support teams to close the loop between what our systems do in the field and how we design, test, and improve them.Be part of an inclusive, collaborative team that values a diversity of backgrounds, perspectives, and career paths.
WHAT YOU'LL DO
- Define, build, deploy, and evolve our analytics architecture and tools to capture, process, and automate hardware and software events at scale.
- Design and maintain data pipelines and ETL that transform raw telemetry into reliable, analysis‑ready datasets.
- Apply data analysis and statistical techniques to improve performance, reliability, and robustness of our hardware platforms and software releases.
- Build dashboards, alerts, and other data products that enable engineering and leadership to make data‑driven decisions.
- Lead and drive data‑driven projects and programs from exploration through delivery, partnering with hardware and software engineering teams.
- Analyse complex systems data and recommend business decisions and strategy to hardware engineering leadership.
- We are primarily an in-office environment and therefore, you will be expected to work from the {{OFFICE_LOCATION}} office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.
WHAT YOU BRING
- Strong, hands‑on experience using Python in data/analytics or similar engineering environments.
- Strong experience using SQL, including writing complex queries and working with large datasets.
- Experience with databases (Snowflake or similar analytical databases highly desirable).
- Experience with modern engineering tooling such as Git and Jenkins/Airflow (or similar orchestration tools) to drive CI/CD with docker.Industry experience implementing machine learning models, including:
- Evaluating model accuracy and precision.
- Understanding how features impact model behaviour and performance.
- Comparing and assessing different ML algorithms for a given problem.Background in statistical analysis (e.g., anomaly detection, data quality assessment) is highly desirable.
- Excellent verbal communication and collaboration skills, with the ability to work across hardware, software, and business stakeholders.
#LI-ONSITE
Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations.
This role may be eligible for incentive pay and/or equity.
There is no application deadline and we accept applications on an ongoing basis until the job is filled.
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
- Hands-on experience using Python in data/analytics or similar engineering environments.
- Strong experience using SQL, including writing complex queries and working with large datasets.
- Experience with analytical databases (Snowflake or similar).
- Experience with modern engineering tooling and CI/CD (Git, Jenkins or Airflow, Docker).
- Industry experience implementing machine learning models (evaluating accuracy, feature impact, comparing algorithms).
- Background in statistical analysis (anomaly detection, data quality assessment).
- Excellent verbal communication and collaboration skills, able to work across hardware, software, and business stakeholders.
- Ability and willingness to work on-site at the specified office location.
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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