Lead Infrastructure Engineer - Linux / Windows

Join Corporate Technology at JPMorganChase, where infrastructure engineers are empowered to build resilient, scalable platforms that power critical business intelligence capabilities across the firm.

Here, your work directly enables data-driven decisions at enterprise scale-and you'll have the tools, autonomy, and collaborative environment to make a lasting impact.

As a Lead Infrastructure Engineer at JPMorganChase within Corporate Technology, you will design, build, and operate the hybrid infrastructure supporting enterprise business intelligence platforms across on-premises and cloud environments.

You will drive platform reliability, automation, and AI-enabled operational efficiencies that reduce toil, accelerate incident response, and elevate the quality of operational knowledge management.

Your contributions will directly influence platform resilience, engineering standards, and the adoption of intelligent automation across the team.

Job responsibilities


* Engineer and sustain hybrid infrastructure environments supporting enterprise analytics platforms across development, test, and production tiers, including compute, storage, networking, load balancing, DNS, certificates, and OS configurations


* Provision and manage infrastructure using Terraform, building reusable modules and standardized patterns that enable consistent, repeatable deployments across environments


* Automate recurring operational tasks-including environment builds, validation checks, certificate rotations, and health checks-to reduce manual toil and improve platform reliability


* Drive platform resiliency through high availability design, backup and restore procedures, disaster recovery planning and testing, and environment standardization


* Implement and maintain monitoring and alerting for infrastructure and platform dependencies, including system metrics, service health, log signals, and network performance


* Lead incident response, root-cause analysis, and corrective action tracking, producing structured documentation that reduces repeat incidents and improves mean time to resolution


* Identify and implement AI and large language model-assisted efficiencies across operational workflows, including incident summarization, runbook generation, alert correlation, and change-plan validation


* Partner with platform administrators and application and data teams to align infrastructure capacity, job scheduling, concurrency, and performance baselines with platform requirements


* Produce and maintain operational documentation, including architecture diagrams, standard operating procedures, troubleshooting runbooks, and support checklists


* Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements.


* Applies reuse-first, AI-assisted practices within ...