Cloud-Native Support Engineer - Kubernetes & OpenShift

New York tech

Santa Clara (CA)

On-site

USD 137,000 - 207,000

Full time

14 days+

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Benefits offered by this job

Flexible time off
Wellness resources
Company-sponsored team events

Job summary

Pure Storage is seeking a Technical Services Engineer for Portworx in Santa Clara. You will empower enterprise customers to run containerized workloads at scale across public, private, and hybrid clouds, acting as a trusted cloud-native advisor from proof-of-concept to production deployments.

You will collaborate with cross-functional teams to diagnose complex distributed software challenges, accelerate incident resolution, and drive data management across platforms.

Qualifications

  • 2–4 years of experience in customer-facing technical support / SRE.
  • Proficiency troubleshooting container management platforms and cloud environments.
  • Ability to collaborate with engineering, product, and customer success teams.

Responsibilities

  • Optimize cloud-native deployments across Kubernetes, OpenShift, VMware and public clouds.
  • Drive full-stack incident resolution for complex issues.
  • Collaborate with core engineering to reproduce edge cases and implement fixes.
  • Support pre-sales engagements, POC installations, and live production expansions.
  • Create KBs and technical guides to enable self-service and raise team expertise.

Skills

Customer support
Cloud troubleshooting
Analytical thinking
Ownership

Tools

Kubernetes
OpenShift
Tanzu
VMware container solutions
AWS
Azure
IBM Cloud
Ansible
Terraform
Chef
Puppet

Job description

Pure Storage is seeking a Technical Services Engineer for Portworx in Santa Clara. You will empower enterprise customers to run containerized workloads at scale across public, private, and hybrid clouds, acting as a trusted cloud-native advisor from proof-of-concept to production deployments.

You will collaborate with cross-functional teams to diagnose complex distributed software challenges, accelerate incident resolution, and drive data management across platforms.

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