JPMorgan Chase & Co.
React Lead Software Engineer — Application Owner
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Role Overview
Are you a software engineer who thrives at the intersection of technical delivery and application ownership? At JPMorganChase, we build technology that powers one of the world's most trusted financial institutions — and we're looking for engineers who take pride in both the quality of their code and the integrity of the systems they own. This is your opportunity to make a lasting impact on critical infrastructure platforms while growing your career in a firm that invests in its people.
As a Lead Software Engineer at JPMorganChase within the Infrastructure Platforms, Data Center Services 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. In this combined role, you take end-to-end ownership of technical delivery while also serving as the Application Owner for one or more applications within the Data Center Services portfolio — accountable for their lifecycle management, risk posture, resiliency, and compliance with firmwide standards. This role is ideal for a self-starter who thrives in a collaborative environment, can manage competing priorities, and drives engineering excellence across the team.
Job Responsibilities
- Design, develop, and deliver full-stack software solutions across frontend (React) and backend (Node.js/TypeScript, Python) services, applying strong problem-solving skills to break down complex technical challenges
- Engage directly with stakeholders and product owners to gather requirements, clarify scope, and ensure technical solutions align with business objectives
- Lead development planning activities including backlog refinement, sprint planning, effort estimation, and technical roadmap definition, ensuring the team delivers incrementally and predictably
- 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
- Develop secure, high-quality production code and review peers' work to maintain consistency, reliability, and adherence to engineering standards
- Identify opportunities to eliminate or automate remediation of recurring issues to improve the overall operational stability of applications and systems
- Maintain clear and organized documentation including technical designs, architecture decisions, and runbooks, ensuring knowledge is shared and accessible across the team
- Mentor and support junior engineers, providing technical guidance and fostering a culture of continuous improvement and engineering excellence
- Own and maintain application registration and metadata, ensuring all data classifications, information flows, and application profiles are accurate, current, and compliant with firmwide governance requirements
- Partner with Risk and Technology Risk and Controls teams to assess application risk, implement required controls, and proactively manage control gaps and resiliency requirements — including disaster recovery test coordination, capacity management, and application lifecycle activities
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Required Qualifications, Capabilities, and Skills
- Formal training or certification on software engineering concepts and advanced applied experience
- Hands-on practical experience across the full Software Development Life Cycle, including system design, application development, testing, continuous integration/continuous delivery pipelines, and operational support
- Strong proficiency in frontend development with React, including state management and testing with frameworks such as Jest or React Testing Library
- Advanced knowledge of backend development using Node.js and TypeScript to build RESTful APIs, along with strong experience writing and maintaining comprehensive unit, functional, and integration tests
- Demonstrated ability to communicate effectively with technical and non-technical stakeholders, translating business requirements into actionable technical plans
- Experience working collaboratively in agile teams and participating in Scrum ceremonies; experience facilitating or running ceremonies such as sprint planning and retrospectives
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices
- Experience with relational databases such as MySQL or similar, along with exposure to cloud platforms, infrastructure-as-code practices, and API documentation standards such as OpenAPI/Swagger
- Demonstrated understanding of application lifecycle management practices, including familiarity with application registration, governance tooling, and compliance requirements within a regulated enterprise technology environment
- Experience managing application risk, controls compliance, and resiliency requirements within a regulated financial services or enterprise technology environment
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Preferred Qualifications, Capabilities, and Skills
- Experience with additional modern frontend frameworks (e.g., Angular) or Python for backend services and tooling
- Proficiency with design and prototyping tools such as Figma for collaborating on user interface and experience requirements
- Experience with traditional artificial intelligence and machine learning techniques, such as predictive analysis
- Prior experience serving as an Application Owner or in an equivalent application governance and lifecycle management role
- Familiarity with Technology Risk and Controls frameworks and experience managing control remediations through established governance workflows, including disaster recovery testing coordination and cloud security responsibility models
About J.P. Morgan
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.
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