Lead Software Engineer, Cloud Infrastructure & Platform Engineering

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NY
Posted
35 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $197k
$174k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $183,750–$211,200.

Based on 240 similar postings.

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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 1134 open roles on FindRole.

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At a glance

TL;DR · Lead Software Engineer, Cloud Infrastructure & Platform Engineering

Lead Software Engineer: Cloud Infrastructure & Platform Engineering (Java, Python, Agentic AI) joins an agile team within Consumer and Community Banking to build and operate secure, stable, and scalable platform solutions for corporate functions like Finance, Risk Management, and Human Resources. This infrastructure-first role involves designing cloud capabilities, maintaining Java 17+ and Spring Boot services with RESTful APIs, and implementing Infrastructure-as-Code using Terraform. The position requires developing AI-enabled agentic workflows, including tool-using agents and orchestration patterns. Key technical requirements include Python development, Kubernetes operations in high-availability environments, and CI/CD pipeline management via Git. Candidates will utilize observability tools like Splunk, Datadog, and Dynatrace to ensure reliability. The role addresses the challenge of providing secure, automated "golden paths" for corporate services while ensuring compliance with strict security and risk requirements in a regulated environment.

What you'll do

  • Design, build, and operate secure, scalable cloud platform capabilities and production environments.
  • Develop and maintain Java 17+ and Spring Boot services with RESTful APIs.
  • Implement Infrastructure-as-Code and Everything-as-Code using Terraform for secure provisioning.
  • Execute safe release practices including rolling and blue/green deployments for high-availability services.
  • Apply SRE principles such as SLIs, SLOs, and automated remediation to improve operational stability.
  • Monitor and troubleshoot production services using observability and APM tools like Splunk or Datadog.
  • Prototype and deliver AI-enabled workflows and agentic patterns based on stakeholder requirements.
  • Mentor engineers and partner with teams to ensure compliance with security and performance standards.

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 and infrastructure engineering experience for designing and operating cloud workloads.
  • Experience operating Kubernetes in high-availability environments, including deployments and incident troubleshooting.
  • Strong Infrastructure-as-Code experience using Terraform for modules, state management, and secure provisioning.
  • Production support experience using observability/APM tools like Splunk, Datadog, or Dynatrace.
  • Experience with testing frameworks (JUnit, Mockito) and performance testing tools (JMeter/BlazeMeter).
  • Demonstrated experience leading the use of AI-assisted development tools and understanding responsible AI in engineering workflows.

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