JP Morgan Chase

Runs a consumer bank and an investment bank

Lead Infrastructure Engineer - Powering Identity & Access Management at Scale

Site Reliability EngineeringConfirmed live in the last 24 hours

Full-time$147.3k - $190kIn-person

About the Job

Requirements

Formal training or certification in infrastructure engineering concepts and at least 5 years of applied experience.
Deep knowledge of one or more infrastructure engineering areas, such as hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, or performance assessments.
Demonstrated experience using enterprise-authorized AI capabilities in infrastructure engineering workflows, with strong validation habits and awareness of data sensitivity.
Ability to review and validate AI-assisted recommendations before implementation, escalate when uncertain, and ensure outcomes align with 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 application performance monitoring (APM) or observability platforms such as Dynatrace, Datadog, New Relic, or AppDynamics to monitor application and service health.
Experience conducting capacity and performance analysis to proactively identify scaling, tuning, or resilience risks.

Responsibilities

Apply technical expertise and problem-solving methodologies to projects of moderate scope, executing creative solutions for design, development, and technical troubleshooting of problems of moderate complexity.
Use enterprise-authorized AI capabilities to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements.
Drive a workstream or project involving one or more infrastructure engineering technologies, and work with other platforms to architect and implement changes that resolve issues and modernize organizational and technology processes.
Consider upstream and downstream data, systems, and technical implications, and advise on mitigation actions.
Apply reuse-first, AI-assisted practices in delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable, auditable, and aligned with resiliency and security expectations.
Troubleshoot priority incidents, facilitate blameless post-mortems, and support solutions through closure.
Participate in rotational support coverage as needed.
Define and drive adoption of monitoring frameworks for end-to-end application or service monitoring, noiseless alerting, and appropriate telemetry.
Contribute to products or software to automate manual operational work.
Proactively monitor infrastructure and service capacity, performance, and utilization trends; identify risks and implement scaling or tuning actions before availability is affected.
Define and maintain service health and reliability targets, such as availability, latency, and error-rate thresholds, for owned systems, and drive engineering priorities to meet them.

Desired Qualifications

Proficiency in designing, building, and deploying highly scalable software-based infrastructure components, such as cloud products, container systems, compute, storage, and network services.
Experience with one or more general-purpose programming languages, such as Go or Python.
Experience with scripting languages to automate tasks and build pipelines.
Experience designing and contributing to observability, performance, and capacity-management tools, such as Dynatrace, Grafana, or Splunk.
Experience 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, such as Jenkins, GitLab CI, Spinnaker, or ArgoCD, to support automated build, test, and deployment workflows.

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

Base Pay/Salary: Jersey City,NJ $147,250.00-$190,000.00

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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