Lead Infrastructure Engineer - Storage
On-siteColumbus, Ohio, United States
Job Summary
Define and govern enterprise NAS architecture standards, driving adoption of design patterns and configuration baselines across the platform. Lead workstreams for resiliency, performance engineering, and automation, delivering evidence-based recommendations from vendor evaluations and technical deep dives. Partner with compute, network, and cybersecurity teams to architect solutions for systemic issues, modernize technology processes, and enhance observability to reduce performance incidents. Support SRE teams during complex escalations while leveraging AI-enabled workflows to optimize analysis and knowledge capture.
Required Qualifications
- 5+ years of enterprise-scale storage experience, with significant depth in NAS platforms/services
- Deep knowledge of one or more areas of infrastructure engineering such as hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, or performance assessments
- Demonstrated strength in architecture and standardization, including reference architectures, configuration baselines, and control/guardrail design
- Experience with storage products from vendors such as NetApp, Dell, VAST Data, Weka, DDN, Pure Storage (or equivalent), with the ability to rapidly learn and critically evaluate new platforms
- Proven ability to work independently to understand vendor products and services, ask the right questions, and translate requirements into secure, scalable solutions
- Deep knowledge of one specific infrastructure technology and scripting languages (e.g., Python, PowerShell, Bash, etc.); experience automating repeatable operational tasks
- Strong troubleshooting and problem-solving skills, including ability to support SRE teams during escalations and drive durable root-cause fixes
- Strong written and verbal communication skills, including producing clear standards, designs, and operational documentation
Desired Qualifications
- Experience with public cloud providers (AWS/Azure/GCP), hybrid connectivity patterns, and storage/migration concepts
- Experience with automation / IaC / configuration management (e.g., Terraform, Ansible, or similar) and CI/CD-aligned engineering practices
- Familiarity with Agile tools and processes (e.g., Jira/Confluence) and iterative delivery
- Familiarity with AI systems applied to engineering productivity, including safe/controlled use of LLMs, agentic workflows, MCP, and skills/agents (subject to firm-approved tools and data-handling requirements)
- Experience operating in regulated or highly controlled environments, including audit/control participation and operational risk management
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