Lead Software Engineer - Reliability & Support

Description 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 JPMorgan Chase within the Commercial & Investment Bank, 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 • 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 Required qualifications, capabilities, and skills • Formal training or certification on software engineering concepts and 5+ years applied experience. • Demonstrated knowledge of applications or infrastructure in a large-scale technology environment both on premises and public cloud i.e. Kubernetes and Amazon Web Services • Experience with ticketing systems, such as ServiceNow and Jira Service Desk • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages • 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. • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security • Monitoring and Supporting Applications – Infrastructure as well as functional side • Incident & Problem Management, Change Review and Approval Process • Working knowledge on tools & Platforms – Geneos, Service Now, Grafana, Splunk, DynaTrace, Oracle, Cloud Based platforms, Java applications