Lead Software Engineer - Cloud Infrastructure

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 Commercial and Investment Bank, Merkets Technology, youare 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 • Aligning technical strategy with other partner teams across the bank to deliver a complete and coherent experience for Athena Developers • Execute creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems • Partner with a global team of engineers through a transformation of the Athena Core Platform to a resilient and scalable cloud based architecture • Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems • Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies • 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 • Formal training or certification on software engineering concepts and 5+ years applied experience • Working knowledge of load balancing and service orchestration, both on-prem and in public cloud environments • Proficient in one or more general-purpose programming languages such as Python, Java • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security • Practical Cloud-native and Kubernetes experience • In-depth knowledge of Infrastructure as Code such as Terraform • 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 Preferred qualifications, capabilities, and skills • Experience running Kubernetes (AWS EKS) at large scale for financial organizations where scaling, resiliency, security, monitoring and audit trail etc. will be prioritized • Hands-on experience with Infrastructure as Code products, preferably Terraform • Experience in one or more public cloud platforms (ideally AWS) • Experience in DevOps will be considered an advantage #J-18808-Ljbffr