Job Opportunities API

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 Consumer and Community 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. 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. • Identifies opportunities 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 • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Required qualifications, capabilities, and skills • A 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) • 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 • Extensive experience 10+ Years in software engineering and architecture, with a focus on Java, spring based technologies in AWS / Cloud environment • Strong background in working with APIs (especially Open API), ensuring efficient communication and integration between different systems • Proven record of providing end-user support with excellent problem-solving abilities Preferred qualifications, capabilities, and skills • Experience working at code level • A keen interest in staying ahead of modern development trends and experimenting with emerging technologies such as AI and Machine Learning. • Ability to tackle design and functionality problems independently with little to no oversight