Lead Software Engineer - GLCM Postings

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 & Investment Bank, Payments technology 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

• Own the technical strategy and architecture for mission-critical applications, ensuring alignment with business goals and industry best practices
• Lead and mentor a team of software engineers, providing guidance, support, and professional development opportunities
• Drive the design and implementation of high-performance backend services using Java and cloud-native technologies
• Champion the development of highly resilient, share-nothing, multi-region architectures to achieve fault tolerance, high availability, and disaster recovery
• Drive the adoption and optimization of MongoDB (including change streams), Kubernetes, and other modern platforms
• Set and enforce standards for API design and development (REST/gRPC), including best practices for versioning, documentation, and error handling to ensure robust, secure, and scalable interfaces
• Guide the integration and management of service registries for dynamic service discovery and orchestration in micro services environments
• Promote the creation of custom frameworks and reusable components to accelerate development and maintain consistency
• Manage project delivery, ensuring timelines, quality, and stakeholder satisfaction while identifying and mitigating technical risks
• 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 applied experience
• Extensive experience in Java and object-oriented programming
• Proven leadership in Kubernetes and cloud-native application development
• Deep expertise in MongoDB, including change streams and schema design
• Strong background in RESTful and gRPC API design and implementation
• Demonstrated experience with API best practices and service registry concepts
• Track record of designing highly resilient, share-nothing, multi-region architectures
• Ability to architect and promote custom frameworks and reusable components
• Experience leading Agile, self-managing teams
• 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

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• Proven experience in senior leadership or engineering management roles
• Hands-on expertise with cloud platforms (AWS, Azure, GCP), CI/CD pipelines, and DevOps practices
• UI development experience with modern frameworks such as React, Angular, or similar