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# Lead Software Engineer Java/AWS

- **Company:** JPMorgan Chase & Co.
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Software Applications, Automation of Tests, Software Quality, Code Review, Continuous Integration, Distributed Systems, Performance Tuning, Software Tools, Secure Coding, Software Engineering, Software Systems, Strategies of Testing, Toolchain, Spring-boot, Containerization, Production Code, Api Design, Domain Driven Design, Code Restructuring, Api Management, Programming Languages, Microservices
- **Published:** August 25, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/27960545/Lead-Software-Engineer-Java-Aws-Ohio-All-Cities-7463

## About the Role

* Formal training or certification on software engineering concepts and 5+ years applied experience
 * Hands-on practical experience delivering system design, application development, testing, and operational stability
 * Advanced in one or more programming language(s)
 * Demonstrated hands-on experience building production services in Java and Spring Boot
 * Demonstrated experience designing and delivering microservices-based solutions, including distributed systems troubleshooting and performance tuning
 * Practical experience building and operating workloads on Amazon Web Services (AWS) in a security-conscious environment
 * Proficient in all aspects of the Software Development Life Cycle
 * Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
 * Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) 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; experience coaching engineers on safe, compliant adoption within delivery practices

Preferred Qualifications, Capabilities, and Skills

 * Experience with domain-driven design and API-first delivery for microservices ecosystems
 * Experience implementing cloud observability (metrics, logs, tracing) and reliability practices for distributed services
 * Experience with containerization and orchestration approaches commonly used with AWS-backed microservices
 * Experience collaborating with security, risk, and architecture partners to deliver secure-by-design solutions
 * Experience in financial services or highly regulated environments (where applicable to the role)

## Description

As a Lead Software Engineer at JPMorganChase within the Consumer and community Banking - Trust and Security Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives., * Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems

 * Develops secure and high-quality production code, and reviews and debugs code written by others
 * Designs, builds, and maintains Java-based services using Spring Boot, with clear API contracts and engineering standards that support scalability and maintainability
 * Develops and operates microservices architectures with a focus on resiliency patterns, observability, and secure service-to-service communication
 * Builds, deploys, and supports cloud-native solutions on Amazon Web Services (AWS), aligning to security and reliability expectations
 * Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
 * Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
 * Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.


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