Platform Engineering Lead: Java & AWS

JPMorgan Chase; Columbus (OH); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorganChase seeks a Lead Software Engineer (Vice President) to drive cloud platform capabilities, secure Java services, and AI-enabled workflows within a high-availability environment. You will own infrastructure, guide SRE practices, and mentor teams across Global Finance, Corporate Treasury, Risk, and Compliance.

You will work on Terraform-based provisioning, CI/CD pipelines, and production monitoring with Splunk, Datadog, and Dynatrace, in a hands-on role emphasizing reliability and

Qualifications

• Formal training or certification on software engineering concepts and 5+ years of applied experience.
• Hands-on Java/J2EE and Python development experience, with strong 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 (modules, state management, secure provisioning practices)
• Production support experience using observability/APM tooling (e.g., Splunk, Datadog, Dynatrace), including root-cause analysis and reliability improvements
• Experience with testing practices and frameworks (e.g., JUnit, Mockito) and performance testing tools (e.g., JMeter/BlazeMeter or equivalent)
• Solid grounding in domain-driven design, microservices patterns, resiliency patterns, and operating services under change/incident management controls
• Demonstrated experience leading effective use of approved AI-assisted software development tools with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations

Responsibilities

• Lead the design, build, and day-to-day operation of cloud platform capabilities and production environments at scale, emphasizing resiliency, security, and reliability
• Build and maintain secure Java (Java 17+) and Spring Boot services, including RESTful APIs, with strong code review and debugging
• Implement Infrastructure-as-Code / Everything-as-Code using Terraform, including secure provisioning and policy controls where applicable
• Enable and support safe release practices (e.g., rolling and blue/green deployments) for high-availability, high-scale services
• Improve operational stability by eliminating recurring issues and automating remediation/runbooks where appropriate
• Apply SRE-aligned practices (SLIs/SLOs, error budgets, incident response) and participate in formal change and incident management processes
• Use observability and APM tooling (e.g., Splunk, Datadog, Dynatrace) to monitor, troubleshoot, and improve production services
• Deliver CI/CD in a "you build it, you own it" culture using Git and enterprise pipelines (e.g., Jules, Spinnaker, or similar)
• Prototype and deliver AI-enabled/agentic workflows and translate stakeholder needs into technical designs
• Mentor engineers and partner with application teams to drive best practices across reliability, performance, risk, cybersecurity, and legal/compliance requirements

Skills

Java/J2EE

Python

Spring Boot

AWS

Kubernetes

Terraform

Git

Spinnaker

Jules

Splunk

Datadog

Dynatrace

AI-assisted development

Security/compliance

Tools

Spinnaker

Jules

Splunk

Datadog

Dynatrace

Git

Job description

JPMorganChase seeks a Lead Software Engineer (Vice President) to drive cloud platform capabilities, secure Java services, and AI-enabled workflows within a high-availability environment. You will own infrastructure, guide SRE practices, and mentor teams across Global Finance, Corporate Treasury, Risk, and Compliance.

You will work on Terraform-based provisioning, CI/CD pipelines, and production monitoring with Splunk, Datadog, and Dynatrace, in a hands-on role emphasizing reliability and