Storage Platform Engineer - Multi-Cloud & AI-Powered

Devopsroles

Michigan

Hybrid

USD 68,000 - 107,000

Full time

13 days ago
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Benefits offered by this job

Discretionary incentive compensation

Job summary

PG&E is seeking a Storage Platform Engineer to design and operate data infrastructure across AWS, Azure, and on-premises. The role focuses on storage pipelines for analytics and AI workloads, with Terraform provisioning and Azure DevOps automation.

The SPE will implement storage protection, security controls, and automation, collaborating with cybersecurity, governance, and cloud teams to ensure resilience and performance in a hybrid environment.

Qualifications

  • Bachelor's degree in computer science or related field or equivalent experience.
  • 2 years hands-on infrastructure, systems administration, or cloud operations work.
  • 1 year of experience with cloud technologies and cloud-based environments.
  • AWS Data Engineer or Azure Data Engineer certification or equivalent.

Responsibilities

  • Administer and support enterprise storage across on-prem and cloud environments.
  • Support block/SAN storage platforms and related fabric technologies.
  • Administer NAS/file storage platforms and migration activities.
  • Provision, expand, reclaim, and optimize storage resources.
  • Monitor storage health using enterprise storage management/AIOps tools.
  • Troubleshoot storage incidents across arrays, fabrics, and connectivity paths.
  • Collaborate with cross-functional teams to improve storage reliability.

Skills

Cloud operations
Infrastructure automation
Storage technologies
Agile/Scrum collaboration

Education

Bachelor's degree (computer science or related)
2 years hands-on infrastructure experience
1 year cloud technologies experience
AWS/Azure data engineer certification

Tools

Terraform
Cisco NDFC
IBM Storage Insights
Dell InsightIQ
Dell AIOps
Dell Secure Connect Gateway

Job description

PG&E is seeking a Storage Platform Engineer to design and operate data infrastructure across AWS, Azure, and on-premises. The role focuses on storage pipelines for analytics and AI workloads, with Terraform provisioning and Azure DevOps automation.

The SPE will implement storage protection, security controls, and automation, collaborating with cybersecurity, governance, and cloud teams to ensure resilience and performance in a hybrid environment.

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