Business Title Sr IT Infrastructure Specialist | Heathrow Office) Expand to view locations Cohesity - Roseville

Cohesity opens in a new tab is a leader in AI-powered data security and management. Aided by an extensive ecosystem of partners, Cohesity makes it easy to secure, protect, manage, and get value from data — across the data center, edge, and cloud.

Cohesity helps organizations defend against cybersecurity threats with comprehensive data security and management capabilities, including immutable backup snapshots, AI-based threat detection, monitoring for malicious behavior, and rapid recovery at scale.

We’ve been named a Leader by multiple analyst firms and have been globally recognized opens in a new tab for Innovation, Product Strength, and Simplicity in Design.

Join us on our mission to shape the future of our industry.

We are seeking a Senior IT Infrastructure engineer who thrives in dynamic environments and can rapidly learn new platforms, embrace AI-assisted operations, and contribute across both lab and production infrastructure. Success in this role requires strong technical depth, operational ownership, collaboration, and a bias toward automation and continuous improvement. You'll work across Linux systems, Kubernetes clusters, kubevirt-based virtualization, and enterprise SAN storage.

You will be expected to use AI tools to move faster, reduce toil, and catch issues earlier than a purely manual workflow would allow.

This is not an "AI-optional" role. We expect modern infrastructure engineers to pair deep systems knowledge with AI-assisted workflows for scripting, troubleshooting, documentation, and operational analysis. The judgment and systems expertise are still yours; AI is a force multiplier, not a replacement for understanding what's happening under the hood.

• Design, deploy, and maintain Linux server infrastructure (RHEL/Rocky/Ubuntu and similar) across production and non-production environments
• Operate and scale Kubernetes clusters: deployments, networking, storage integration, upgrades, and troubleshooting
• Manage kubevirt-based virtualization environments: VM lifecycle, resource allocation, live migration, performance tuning, and host maintenance
• Administer and optimize SAN storage systems (Pure Storage, Dell, HPE, and/or Net App), including provisioning, performance, snapshots, and capacity planning
• Contribute to datacenter networking design and troubleshooting (VLANs, switching, routing fundamentals) where applicable
• Build automation and tooling to reduce repetitive manual work across the infrastructure stack
• Participate in on-call rotation and incident response, driving root-cause analysis for infrastructure issues
• Document architecture, runbooks, and operational procedures
• Participate in maintenance activities, platform upgrades, and infrastructure migrations across global data center locations

We expect you to actively use AI tools to augment (not replace) the skills above. This looks like:

• Scripting & automation
  :
  Using AI coding assistants (e.g., Claude Code, Copilot) to draft and refine automation for provisioning, patching, and cluster operations; reviewing and validating output rather than blindly trusting it
• Kubernetes operations
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  Using AI to help generate and audit services and troubleshoot pod/network/storage issues faster by summarizing logs and correlating events across clusters
• Incident response
  :
  Using AI to accelerate log analysis, correlate symptoms across systems (compute, storage, network) during outages, and draft initial incident timelines/postmortems
• Capacity & performance analysis
  :
  Using AI‑assisted data analysis to identify SAN storage trends, VM resource pressure, or cluster bottlenecks before they become incidents
• Documentation
  :
  Using AI to turn tribal knowledge…