We have an opportunity toimpactyour career and provide an adventure where you can push the limits ofwhat'spossible.
As a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment 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, youare responsible forconducting critical technology solutions across multiple technical areas within various business functions in support of the firm's businessobjectives.
Job responsibilities
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
- Develops secure and high-quality production code, and reviews and debugs code written by others
- 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.
- Identifiesopportunities 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
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced in one or more programming language(s) (Python as amust)
- 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
- Strong Analytical andproblem-solvingskills. Solidtechnology background with experience inobject-orientedprogramming.
- Proficiencyin automation and continuous deliverymethods
- Proficientin all aspects of Software Development LifeCycle Advancedunderstanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstratedproficiencyin software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- In-depth knowledge of the financial services industry and their IT systems . Practical cloud native experience
Preferred qualifications, capabilities, and skills
- Preferred UI Skills -Reactjs, Nodejs, Microservices
- Macro Trading Business knowledge.
- In-depth knowledge of the financial services industry and their IT systems
- Knowledge of AWS Data Source
- Distributed computing, Data modeling, Performance engineering, regression testing
