Lead software Engineer - Full Stack

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 Infrastructure Platforms , 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



* Lead the design, development, and delivery of full stack AI-enabled applications and Conversational AI.


* Provide technical leadership across frontend, backend, API, database, and AI integration workstreams.


* Architect scalable, maintainable, and secure solutions using React, Python, Java, REST APIs, GraphQL, and database technologies.


* Guide the implementation of AI agents, AI workflows, RAG and intelligent automation capabilities.


* Establish and promote engineering best practices, including clean code, reusable components, automated testing, CI/CD, and design patterns.


* Drive integration with relational and non-relational databases, including SQL, Oracle, ElasticSearch and MongoDB.


* Collaborate with Agile SCRUM teams through sprint planning, backlog refinement, daily standups, demos, and retrospectives.


* Stay current with emerging AI, GenAI, full stack, and cloud-native engineering trends, and assess practical adoption opportunities.


* Experience with message queues, streaming platforms, pub/sub models, or event-driven architectures.


* 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



* Minimum of 5+ years of full stack application development experience.


* Hands-on practical experience delivering system design, application development, testing, and operational stability


* Advanced in REACT and one or more programming language(s)


* Proficiency in automation and continuous delivery methods


* Proficient in all aspects of the Software Development Life Cycle


* Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security


* Demonstrated proficiency in software applications and t...