Lead Infrastructure Engineer - Linux / Windows
On-siteOhio, United States
Job Summary
Engineer and sustain hybrid infrastructure environments supporting enterprise analytics platforms across development, test, and production tiers. Provision and manage infrastructure using Terraform to build reusable modules, while automating recurring operational tasks to reduce manual toil. Drive platform resiliency through high availability design, backup procedures, and disaster recovery planning, alongside implementing monitoring and alerting for system metrics and service health. Lead incident response, root-cause analysis, and corrective action tracking to improve mean time to resolution. Identify and implement AI and large language model-assisted efficiencies across operational workflows, including incident summarization and runbook generation. Partner with application teams to align capacity and performance baselines, and produce operational documentation including architecture diagrams and troubleshooting runbooks.
Required Qualifications
- Formal training or certification on infrastructure engineering concepts
- 5+ years applied experience
- Demonstrated experience engineering and supporting production infrastructure in hybrid on-premises and cloud environments
- Strong Linux administration and troubleshooting skills, including service health, system logs, resource contention, process management, and connectivity diagnostics
- Hands-on experience with Terraform, including module development, state management, environment separation, and repeatable infrastructure provisioning
- Experience with IT service management processes and tooling, including incident, change, and problem management workflows
- Proven ability to drive automation and reliability improvements with measurable operational outcomes
- Strong production ownership mindset with structured root-cause analysis skills and calm, effective execution under pressure
- Clear written and verbal communication skills, with the ability to engage both technical teams and business stakeholders
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity
- Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations
Desired Qualifications
- Experience supporting infrastructure for enterprise analytics or business intelligence platforms, including scaling concepts, scheduling and extract window management, and dependency troubleshooting
- Demonstrated experience applying AI or large language model tooling to operational workflows—such as triage, documentation generation, or automation—with an evaluation and continuous improvement mindset
- Scripting and automation experience using Python or Bash for operational tooling and workflow enhancement
- Familiarity with observability tooling, including log aggregation, metrics platforms, and alert tuning
- Knowledge of security fundamentals relevant to infrastructure operations, including certificate lifecycle management, secrets management, least privilege principles, and vulnerability remediation
- Understanding of network fundamentals applicable to enterprise platforms, including load balancers, reverse proxies, firewall rules, DNS, and TLS
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