Lead Infrastructure Engineer - Powering Identity & Access Management at Scale

Assume a vital position as a key member of a high-performing team that delivers infrastructure and performance excellence. Your role will be instrumental in shaping the future at one of the world's largest and most influential companies.

As a Lead Infrastructure Engineer at JPMorganChase within the CTO/IAM, you apply deep knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Continue to evolve your technical and cross-functional knowledge outside of your aligned domain of expertise.

Job responsibilities

- Applies technical expertise and problem-solving methodologies to projects of moderate scope and executes creative solutions for design, development, and technical troubleshooting for problems of moderate complexity

- 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.

- Drives a workstream or project consisting of one or more infrastructure engineering technologies and works with other platforms to architect and implement changes required to resolve issues and modernize the organization and technology processes

- Strongly considers upstream and downstream data and systems or technical implications and advises on mitigation actions

- Applies 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.

- Troubleshoots priority incidents, facilitates blameless post-mortems and supports solutions for closure.

- Be part of the rotational support coverage as needed.

- Defines and drives adoption of a best-in-class monitoring frameworks to accomplish end to end application or service monitoring and noiseless alerting end application or service monitoring and noiseless alerting with proper telemetry.

- Contributes to product area, or software in order to automate manual operational work.

- Proactively monitors capacity, performance, and utilization trends across infrastructure and services, identifying risks and implementing scaling or tuning actions before they impact availability.

- Defines and maintains service health and reliability targets (e.g., availability, latency, error rate thresholds) for owned systems, and drives engineering priorities to meet them.

Required qualifications, capabilities, and skills

- Formal training or certification on infrastructure engineering concepts and 5+ years 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

- 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.

- Deep knowledge of one specific infrastructure technology and scripting languages

- Deep knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across public and private clouds

- Experience with AWS, Kubernetes, Terraform, and/or Docker.

- Practical cloud native experience.

- Experience with APM or observability platforms (e.g., Dynatrace, Datadog, New Relic, AppDynamics) to monitor application and service health.

- Experience conducting capacity and performance analysis to proactively identify scaling, tuning, or resilience risks.

Preferred qualifications, capabilities, and skills

- Proficient in designing, building, and deploying highly scalable software-based infrastructure components. (E.g., cloud products, container systems, compute, storage, and networks services).

- Experience with one or more general purpose programming languages (e.g., Go, Python).

- Experience with scripting languages to automate tasks and build pipelines.

- Designs and contributes to observability, performance, and capacity management tools (e.g., Dynatrace/Grafana/Splunk/etc).

- Experience with resolving application function and system customer support issues.

- Experience facilitating or contributing to post-incident reviews and problem management practices to drive systemic reliability improvements.

- Experience with CI/CD tooling and pipelines (e.g., Jenkins, GitLab CI, Spinnaker, ArgoCD) to support automated build, test, and deployment workflows