Job description

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. 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 a Security-Focused AI Software Engineer on our Digital Product and AI Platform team, you will champion secure-by-design principles to safeguard production backend microservices and cutting-edge AI architectures. Collaborating closely with engineering, product management, cloud infrastructure, and security teams, you will architect, build, and operate resilient systems that power enterprise AI capabilities. By embedding automated security controls, threat modeling, and proactive vulnerability management directly into the development lifecycle, you will ensure our digital platform remains performant, trustworthy, and protected at scale. WHAT YOU'LL DO Drive Application Security & Secure SDLC: Champion end-to-end security practices across the engineering team by conducting threat modeling, secure design reviews, and vulnerability remediations, ensuring all digital products and APIs adhere to least-privilege, robust authentication, and strict data protection standards. Architect Secure AI & Microservices: Design, build, and deploy production-grade backend services and Agentic AI workflows in Python on AWS, integrating LLMs, retrieval-augmented generation (RAG) pipelines, and microservices with enterprise platforms. Establish AI Guardrails & Governance: Implement safeguards—including output validation, automated prompt testing, fallback mechanisms, rate limiting, and human-in-the-loop workflows—to ensure reliable, deterministic, and safe AI behavior in production environments. Elevate System Observability & Incident Readiness: Build monitoring, audit logging, and automated evaluation frameworks to proactively identify security signals, supporting rapid incident response and driving continuously improved engineering practices. WHAT YOU BRING Backend & Distributed Systems Expertise: Strong engineering proficiency in Python, RESTful microservices, and deploying cloud-native applications within AWS environments (including containerized architectures). Application Security Mastery: Proven skill in threat modeling, secure API design, cryptography fundamentals, data protection, secrets management, and applying OWASP/supply-chain risk mitigations. AI & Machine Learning Capabilities: Hands-on experience developing LLM-driven or Agentic AI applications, RAG pipelines, prompt engineering strategies, and production guardrails or model evaluation frameworks. We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave. #LI-ONSITE #LI-TH3 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. The annual base salary range is: $149,000 — $224,000 USD 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 benefits.everpuredata.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 TA-Ops@purestorage.com 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.

Requirements

Must-haves

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
Backend & Distributed Systems Expertise: Strong engineering proficiency in Python, RESTful microservices, and deploying cloud-native applications within AWS environments (including containerized architectures).
Application Security Mastery: Proven skill in threat modeling, secure API design, cryptography fundamentals, data protection, secrets management, and applying OWASP/supply-chain risk mitigations.
AI & Machine Learning Capabilities: Hands-on experience developing LLM-driven or Agentic AI applications, RAG pipelines, prompt engineering strategies, and production guardrails or model evaluation frameworks.
We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.
Innovation : We celebrate those who think critically, like a challenge, and aspire to be trailblazers.
Team : We build each other up and set aside ego for the greater good.
Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at TA-Ops@purestorage.com if you’re invited to an interview.
OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:
Join us and bring your best.
Bring your bold.
Pure and simple.

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Benefits

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