Requirements
Requires formal training or certification in software engineering with 5+ years of applied experience. Must have demonstrated experience leading the effective use of approved AI-assisted software development tools and a strong understanding of responsible AI use in engineering workflows. Advanced proficiency in J2EE, Core Java (including Java 17), Spring Framework, and AWS is essential. Experience with build and integration tools (JIRA, Maven, Git, Jenkins, GitHub, BitBucket), Agile methodology, web security, system design, application development, testing, operational stability, automation, continuous delivery, CI/CD, application resiliency, and security is required.
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 & 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 break down 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