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JPMorgan Chase logo

Lead Software Engineer Java/AWS

Posted in last 14 days
JPMorgan Chase
ON SITE
FULL TIME

OH, United States

Salary context

Typical pay for US Software Engineer Jobs roles: $140k–$195k (median $160k).

Based on 773 live listings with disclosed salary.

Dept: Software Engineering

Research this role and its H-1B context

Use these guides to compare role fit, employer history, and public sponsorship evidence. An employer's past filing activity does not guarantee sponsorship for this opening or for a particular candidate.

  • career guideCareer guideA practical, data-led report for comparing recent employer H-1B filing history with live product, engineering, software, and design openings.
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Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. 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. Job Responsibilities - 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. Required Qualifications, Capabilities, and Skills - 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)
ATS: oracle hcmPosted: Aug 24, 2026Updated: Aug 25, 2026View original posting

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Lead Software Engineer Java/AWS

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