Fullstack Software Engineer, AI Infra

purestorage; Santa Clara (CA); On-site; USD 180,000 - 326,000; Full time

Benefits offered by this job

Equity

Flex time off

Wellness resources

Team events

Job summary

Pure Storage in Santa Clara, CA is seeking an experienced full-stack engineer to lead enterprise RAG platform development in collaboration with NVIDIA. You will own end-to-end features, integrating Go and Python backend with frontend interfaces to deliver low-latency data retrieval for large-scale customers.

Join a high-impact team working on cutting-edge GenAI tooling, scalable architecture, and reliable performance, with strong emphasis on security and enterprise readiness.

Qualifications

• Proven experience building production‑grade backend microservices and modern frontend apps in Go and Python.
• Hands‑on GenAI and RAG experience with data processing.
• Strong independent problem‑solving and cross‑functional collaboration.

Responsibilities

• Architect and scale enterprise RAG infrastructure with Go and Python at low latency.
• Integrate GenAI tooling with NVIDIA collaboration to expand platform capabilities.
• Own end‑to‑end product features from concept to deployment, including frontend and backend.
• Establish tests, performance benchmarks, and reliability standards across the stack.

Skills

Go

Python

GenAI

RAG

Frontend development

Backend microservices

Tools

LLM pipelines

Go tooling

Python libraries

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

Join our agile team to shape and deliver the industry's premier enterprise Retrieval-Augmented Generation (RAG) platform from the ground up. You will own end-to-end full-stack feature development at the intersection of Data and AI, partnering directly with NVIDIA engineering teams to integrate cutting-edge AI technologies. Operating with a high-impact startup mindset, you will drive scalable architectural solutions that empower enterprise customers with seamless, highly performant data retrieval.

WHAT YOU'LL DO

• Architect & Scale Enterprise RAG Infrastructure : Design, build, and optimize robust full-stack features using Go and Python, ensuring enterprise clients retrieve, process, and query complex data with ultra-low latency.
• Pioneer Cutting-Edge GenAI Integration : Collaborate directly with NVIDIA engineering teams to integrate state-of-the-art AI tooling and model acceleration libraries, expanding platform capabilities across the evolving GenAI ecosystem.
• Drive End-to-End Product Ownership : Lead features from concept to production deployment-developing intuitive frontend interfaces and resilient backend microservices-to turn complex product requirements into seamless enterprise capabilities.
• Elevate System Performance & Quality : Establish technical standards, automated testing pipelines, and performance benchmarks to ensure high availability, security, and enterprise-grade reliability across the entire stack.

WHAT YOU BRING

• Full‑Stack Engineering Capability : Demonstrated expertise in architecting, building, and maintaining production‑grade backend microservices and modern frontend applications using Go and Python.
• GenAI & RAG Platform Expertise : Hands‑on experience building Retrieval‑Augmented Generation (RAG), LLM pipelines, or AI/ML‑driven architectures to solve complex data processing and retrieval challenges.
• Autonomous Problem‑Solving & Initiative : Strong ability to independently define technical approaches, evaluate complex trade‑offs, and collaborate cross‑functionally to bring innovative concepts to launch.

Location

• Location : We are primarily an in‑office environment and therefore, you will be expected to work from the Santa Clara, CA office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

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.

• $180,000 - $326,000 USD

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

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.

ACCOMMODATIONS AND ACCESSIBILITY:

• Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at [e-mail] 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 protect