Lead Software Engineer - Shared Services

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Works closely with multiple teams to understand requirements, create solutions which meets business needs for the widest number of teams
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate 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.
• Continuously improves on system stability and efficiency
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

• Formal training or certification on software engineering concepts and applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Solid development experience and hands-On coding experience in Java , Micro Services, Spring Boot , Kubernetes , Cloud Computing , Oracle , Kafka
• 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
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
• Solid experience with Cloud deployment solutions such as Kubernetes

• Advanced competency in Java , Micro Services, Spring Boot , Kubernetes , Cloud Computing , Oracle , Kafka, AWS, Databricks, Data Mesh, Graph QL
• Experience with build tools such as Maven
• Familiarity with modern back-end technologies
• Deep experience in cloud technologies

JPMorgan

Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set…