AWS Cloud Lead Infrastructure Engineer - Technical Solutions Engineering

JPMorganChase; Jersey City (NJ); On-site; USD 100,000 - 140,000; Full time

Job summary

JPMorgan Chase is seeking a Lead Infrastructure Engineer in Jersey City. You will play a crucial role in delivering infrastructure excellence as part of a high-performing team within the Cloud Foundational Platforms.

Key responsibilities include driving projects, engaging with engineering teams, and ensuring the effective integration of AI technologies for infrastructure analysis. Ideal candidates have over 5 years of experience and deep expertise in infrastructure and cloud technologies.

Qualifications

• 5+ years of applied experience in infrastructure engineering.
• Deep knowledge in hardware, networking terminology, databases, and cloud technologies.
• Experience using AI capabilities to support engineering workflows.

Responsibilities

• Drive workstreams or projects in infrastructure engineering technologies.
• Use AI capabilities for infrastructure analysis and design documentation.
• Provide 24/7 on-call support across multiple time zones.

Skills

Infrastructure engineering

Cloud technologies

Technical troubleshooting

Automation

Scripting languages (e.g., Python)

Data-driven decision making

Education

Formal training or certification on infrastructure engineering concepts

Tools

AWS certification

Kubernetes

Terraform

GCP

Azure

Job description

Job Description

Join JPMorgan Chase's Cloud Foundational Platforms team and assume a vital position as a key member of a high‑performing team that delivers infrastructure and performance excellence. In this role you will be instrumental in shaping the future at one of the world's largest and most influential companies.

As a Lead Infrastructure Engineer within the Corporate‑Cloud Foundational Platforms team, you will apply deep knowledge of software, applications, and technical processes within the infrastructure engineering discipline. You will drive workstreams and projects, architect and implement changes, devise creative solutions, and collaborate with engineering and product teams to modernize technology and processes across the organization.

Job Responsibilities

• Apply technical expertise and problem‑solving methodologies to projects of moderate scope.
• Drive a workstream or project consisting of one or more infrastructure engineering technologies.
• Work with other platforms to architect and implement changes required to resolve issues and modernize the organization and its technology processes.
• Execute creative solutions for design, development, and technical troubleshooting for problems of moderate complexity.
• Consider upstream/downstream data and systems or technical implications and advise on mitigation actions.
• Use 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.
• Apply reuse‑first, AI‑assisted practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable/auditable and aligned to resiliency and security expectations.
• Manage stakeholder relationships and the team's work in accordance with compliance standards, service level agreements, and product supportability requirements.
• Partner with engineering and product teams to ensure remediation/permanent closure of issues and to identify trending issues to drive product improvement.
• Demonstrate a high aptitude for both learning and teaching as product teams are continually releasing new features and products.
• Provide 24/7 on‑call support through a distributed team spanning multiple time zones.

Required Qualifications, Capabilities, and Skills

• Formal training or certification on infrastructure engineering concepts and 5+ years of applied experience.
• 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.
• Deep knowledge of one specific infrastructure technology and scripting languages (e.g., Python) and AWS certification(s).
• Drive to continue to develop technical and cross‑functional knowledge outside of the product.
• Deep knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across public and private clouds.
• 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.
• Familiarity with working in a large distributed system across a range of technologies including compute, databases, messaging, observability, and telemetry.
• Knowledge of incident, change, and problem management processes and the controls that govern them.
• Understanding of data‑driven decision making.

Preferred Qualifications, Capabilities, and Skills

• Kubernetes, Azure, GCP, or Terraform certifications.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.