Sr. Lead Infrastructure Engineer - Infrastructure Service

Job Overview

We are seeking a skilled IaaS Engineer to join our dynamic team, focusing on Red Head Open Shift and Kubernetes. The ideal candidate will design, deploy, and manage scalable, secure, and cost-effective cloud-based infrastructure solutions.

• Apply technical expertise and problem‑solving methodologies to projects of moderate scope.
• Drive work streams or projects involving one or more infrastructure engineering technologies.
• Collaborate with other platforms to architect and implement changes needed to resolve issues and modernize technology processes.
• Execute creative solutions for design, development, and technical troubleshooting within JPMC's private cloud offering.
• Strongly consider upstream and downstream data, systems, or technical implications and advise on mitigation actions.
• Contribute to a team culture of diversity, opportunity, inclusion, and respect.
• Design and implement infrastructure solutions using Open Shift and VMware's VCF.
• Ensure high availability and reliability of virtual environments.
• Collaborate with cross‑functional teams for application deployment.
• Troubleshoot system performance and other issues.

• Formal training or certification in infrastructure engineering concepts and 5+ years applied experience specifically around virtualization.
• 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.
• Bachelor's degree in IT, Computer Science, or related field.
• Experience with Kubernetes and Red Head Open Shift.
• Ability to work in a fast‑paced, collaborative environment.
• Basic working knowledge of infrastructure technology and scripting languages (e.g., scripting, Python, etc.).
• Drives to continue to develop technical and cross‑functional knowledge outside of the product.

• Good knowledge and experience in containers (K8), storage and compute.