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 JPMorgan Chase within the Consumer and Community Banking , 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 scopeDrives a workstream or project consisting of one or more infrastructure engineering technologiesWorks with other platforms to architect and implement changes required to resolve issues and modernize the organization and its technology processesExecutes creative solutions for the design, development, and technical troubleshooting for problems of moderate complexityStrongly considers upstream/downstream data and systems or technical implications and advises on mitigation actionsAdds to team culture of diversity, equity, inclusion, and respect

 

Required qualifications, capabilities, and skills

 

Formal training or certification on infrastructure disciplines and 5+ years applied experienceDeep 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 assessmentsDeep knowledge of one specific infrastructure technology and scripting languages (e.g., Scripting, Python, etc.)Drives to continue to develop technical and cross-functional knowledge outside of the productDeep knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across public and private cloudsExperience with at least one of the following cloud platforms: AWS, Cloud Foundry, or Kubernetes for deployment.Proficiency in leveraging any programming language (Python or Java) for automation and data preprocessing techniques, including data pipelines, normalization, and streaming to data stores.Experience with at least one of the following log aggregation tools: Splunk, DataDog, Cloud Stream, or ELK StackKnowledge of Active Directory Federated Services solutions: OIDC, SAML, or x509.Preferred qualifications, capabilities, and skills AWS cloud native application deployment including infrastructure as code using Terraform, Python or Java for Lambda and automation.Robust understanding of AWS infrastructure tools and resources such as EC2, Lambda, EKS/ECS, databases, and data warehouseUnderstanding of 3rd party vendor software installation, configuration, and integration.Familiarity with monitoring tools (Dynatrace, Splunk)Certifications in Kubernetes or AWS.