Lead Software Engineer - Java Backend Lead +AWS

JPMorgan Chase & Co.; Plano (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. in Plano, TX seeks a Lead Software Engineer to advance trusted technology products in a secure, scalable way. You will be a core technical contributor across multiple domains in an agile team.

Lead adoption of enterprise AI-assisted engineering practices, ensure secure coding, automated testing, and high-quality production code, while guiding architecture decisions and engineering communities. This role emphasizes collaboration and mentorship.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• 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; experience coaching engineers on safe, compliant adoption within delivery practices.
• Advanced in one or more programming language(s): J2EE, Core Java including Java 17 with annotation, enum, collections, streaming, multithreading, concurrency, regular expressions, functions.

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.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes, while establishing validation standards 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.
• Develops secure high-quality production code, and reviews and debugs code written by others.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies.
• Adds to team culture of diversity, opportunity, inclusion, and respect.

Skills

AI-assisted development

Leadership

Java 17

Spring Framework

AWS

CI/CD

Secure coding

Testing & automation

Jira & Git

Education

Bachelor's degree in Computer Science or related field

Tools

Jira

Maven

Git

Jenkins

GitHub

Bitbucket

EKS

S3

RDS

Job 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 Commercial & Community Banking, 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
• 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.
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills:

• Formal training or certification on software engineering concepts and 5+ years applied experience
• 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
• Advanced in one or more programming language(s) : J2EE , Core Java including Java 17 with annotation, enum, collections, streaming, multithreading, concurrency, regular expressions, functions.
• Experience with spring including In-depth knowledge of Spring Framework for building SOAP/RESTful Web Services, MVC, and Spring Boot.
• Strong AWS experience, architecting, deploying, and operating cloud-native services (e.g., IAM, VPC, EC2, EKS, SQS, S3, RDS, ALB/NLB, Secrets Manager, ElastiCache)
• Experience with build and Integration Tools, including knowledge of JIRA, Maven, Git, Jenkins, GitHub and BitBucket is required.
• Development using Agile methodology. Web Security including OAUTH2/ADFS, Kerberos, Cross Site Scripting and HTTP injection.
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Proficiency in automation and continuous delivery methods
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills:

• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience