AI Software Engineer, Security

About the Company

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.

About 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.

Responsibilities

• 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.

Requirements

• 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.

Work Location

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, work travel, or other approved leave.

Compensation and Benefits

Salary: $149,000—$224,000 USD (annual base salary range determined based on role, level, and location)

This role may be eligible for incentive pay and/or equity.

Benefits include:

• Flexible time off
• Wellness resources
• Company-sponsored team events
• Additional perks available at purebenefits.com

What We Offer

• 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.

Equal Opportunity and Accommodations

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.

Candidates with disabilities may request accommodations for all aspects of our hiring process. For more information, contact us at TA-Ops@purestorage.com if you're invited to an interview.

We're 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.