Lead Software Engineer

JPMorgan Chase

Confirmed live 2 days ago Low trust

Quick summary

Work type
On-site
Location
New York, NYJersey City, NJColumbus, OH
Employment
Full-time
Posted
83 days ago
Freshness
Confirmed live 2 days ago

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Salary context

How this pay compares to similar roles

Similar $185k
$135k $227k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $169,050–$201,600.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1238 open roles on FindRole.

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At a glance

TL;DR · Lead Software Engineer

Lead Software Engineer: (Java & AWS) joins an agile team within Consumer and Community Banking to build and operate secure, scalable platform solutions for corporate functions like Global Finance and Risk Management. This infrastructure-first role requires designing cloud platform capabilities, maintaining Java 17+ and Spring Boot services, and developing AI-enabled agentic workflows. The engineer will implement Infrastructure-as-Code using Terraform, manage Kubernetes environments, and ensure high availability through blue/green deployments and SRE practices. Key technologies include Python, REST APIs, Git, and CI/CD pipelines like Spinnaker. Candidates must utilize observability tools such as Splunk, Datadog, and Dynatrace for production support. The role involves mentoring engineers, applying domain-driven design, and ensuring responsible AI use while managing secrets and policy-as-code in regulated environments.

What you'll do

  • Lead the design, build, and operation of secure, scalable cloud platform capabilities and production environments.
  • Build and maintain secure Java 17+ and Spring Boot services, including RESTful APIs.
  • Implement Infrastructure-as-Code and Everything-as-Code using Terraform for secure provisioning and policy controls.
  • Enable safe release practices such as rolling and blue/green deployments for high-availability services.
  • Apply SRE practices including SLIs, SLOs, error budgets, and formal incident management processes.
  • Use observability and APM tooling like Splunk and Datadog to monitor and troubleshoot production services.
  • Prototype and deliver AI-enabled workflows and agentic patterns while translating stakeholder needs into technical designs.
  • Mentor engineers and partner with application teams to drive best practices in reliability and cybersecurity.

What we're looking for

  • Formal training or certification on software engineering concepts and 5+ years of applied experience.
  • Hands-on Java/J2EE and Python development experience with depth in Spring Boot and REST API design.
  • AWS platform/infrastructure engineering experience, including designing and operating cloud workloads.
  • Hands-on experience operating Kubernetes in high-availability environments, including deployments and incident troubleshooting.
  • Strong Infrastructure-as-Code experience with Terraform, including modules, state management, and secure provisioning.
  • Production support experience using observability/APM tooling like Splunk, Datadog, or Dynatrace.
  • Experience with testing frameworks (e.g., JUnit, Mockito) and performance testing tools (e.g., JMeter/BlazeMeter).
  • Demonstrated experience leading the use of AI-assisted software development tools and understanding responsible AI use in engineering.

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