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# Cloud Native Architect

- **Company:** Pure Storage, Inc.
- **Location:** Newark, NJ, United States
- **Salary:** $165,000.0 - $205,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Cloud Engineering, Continuous Integration, Data Infrastructure, Data Systems, Distributed Data Store, Performance Tuning, Cloud Services, Runbook, Containerization, Kubernetes, Infrastructure Automation Frameworks, Storage Technologies, Data Management, Terraform, Docker, Legacy Systems
- **Published:** September 15, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2972488858-2

## About the Role

* Cloud architecture (AWS, Azure, or GCP)
 * Kubernetes design and operations
 * Portworx storage and data management
 * Containerization with Docker
 * Infrastructure as Code (Terraform, Helm)
 * Distributed data platform design
 * CI/CD for cloud-native workloads
 * Security, networking, and governance in cloud
 * Performance tuning and cost optimization
 * Client-facing consulting and solution design

## Description

Everpure, Inc. is seeking a Cloud Native Architect to design and implement scalable data platforms on Kubernetes and Portworx for enterprise clients. You'll lead architecture for cloud-native data services, containerized workloads, and storage strategies across AWS, Azure, or GCP. Partner with data engineers and client stakeholders to modernize legacy systems, enable analytics and AI workloads, and ensure reliability, security, and cost efficiency. You'll mentor engineers, define best practices, contribute to reusable templates, and thrive in a collaborative, learning-focused, and flexible environment., * Architect and implement cloud-native data platforms using Kubernetes and Portworx.

 * Design scalable, secure, and resilient data and storage architectures on AWS, Azure, or GCP.
 * Modernize legacy data systems into containerized, cloud-native solutions.
 * Collaborate with data engineers and client teams to support analytics and AI workloads.
 * Define and implement infrastructure as code, CI/CD, and automation best practices.
 * Ensure reliability, security, observability, and cost optimization of platforms.
 * Lead technical discovery sessions and translate business needs into architectures.
 * Mentor engineers and contribute to internal frameworks, templates, and standards.
 * Produce architecture documentation, runbooks, and design diagrams for clients.
 * Stay current on cloud-native, storage, and data platform technologies and advise clients.


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