Member of Technical Staff - Platform Engineering
Everpure · Posted Oct 19
Enterprise data storage and management platform for apps, analytics, and AI
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About the role
Everpure (NYSE: P) is a data platform company whose engineering team builds reliable, intuitive systems, and is forming a dedicated AI Applications team focused on tools and processes that elevate the developer experience. The team works across LLM applications, RAG pipelines, agentic workflows, and the infrastructure that supports them. This role is a Senior Platform Engineer leading the "Inner Loop" of AI development, bridging high-velocity AI experimentation and enterprise-grade production infrastructure.
What you will do
- Deliver Platform Self-Service: Design internal APIs and abstractions allowing engineers to provision AI-ready environments complete with model weights, vector databases, and event streams via single-command automation.
- Build Agentic & Go-Based Automation: Develop robust, type-safe internal tooling and AI agents in Go and Python to automate root-cause analysis, disaster recovery, and proactive infrastructure optimization.
- Scale Event-Driven AI Pipelines: Architect asynchronous processing systems using Kafka and RabbitMQ to trigger dynamic infrastructure scaling and handle high-volume data streams like long-running document ingestion.
- Ensure Reproducible Deployments: Maintain "Golden Path" deployment standards using Docker and Kubernetes to keep models, prompts, and application code perfectly synchronized across all environments.
- Optimize AI Observability & Performance: Manage GPU workloads, distributed caches (Redis), and vector databases while monitoring system health and AI-specific metrics like token latency and model drift.
Skills used in this role
What the employer is looking for
- Relevant Infrastructure Experience: 8+ years of experience in Platform Infrastructure Engineering with an emphasis on supporting AI application development and platform self-service.
- Strong Programming Expertise: High proficiency in Golang.
- Practical AI & Storage Knowledge: Hands-on experience integrating LLM APIs, prompt engineering, and RAG pipelines, alongside expertise in managing vector databases and distributed caches.
- Orchestration & Event-Driven Systems: Deep experience with Kubernetes and asynchronous message streaming via Kafka or RabbitMQ.
- Observability & Reliability Mindset: Strong background in full-stack monitoring Prometheus, Grafana, ELK to maintain operational resilience, high throughput, and zero-downtime standard operating procedures.
Benefits and support
- flexible time off
- wellness resources
- company-sponsored team events
About Everpure
Everpure is an enterprise data storage and management company that unifies all data with an enterprise data cloud, making it easy to manage and get AI-ready fast. Formerly known as Pure Storage, the company delivers an industry-leading, ever-evolving storage and data management platform.
- Industry
- Data Storage
- Company size
- 6000+ employees
- Founded
- 2009
- Location
- Santa Clara, California, USA
- Funding stage
- Public Company
Funding
Public Company · $470M raised
- 2013-08-29Series E$150M
- 2014-04-23Series F$225M
Leadership
Chairman and CEO
Rob Lee
Chief Technology Officer
Dan FitzSimons
Chief Revenue Officer
Recent coverage
Everpure Newsroom
Everpure Announces New Data Management Capabilities for Production AI at ScaleSeptember 30, 2026
Everpure Newsroom
88% of Executives Fear Data Sovereignty Failures Could Cost Them Their JobsSeptember 30, 2026
PR Newswire
Everpure's Expanding Business Model Fuels New Long-Term OutlookSeptember 23, 2026
Everpure Newsroom
Everpure Recognized as A Leader in the 2026 Gartner® Magic Quadrant™ for Infrastructure Platform Consumption ServicesSeptember 23, 2026