Lead Software EngineerWe 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 Corporate Sector - Employee Platforms 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. 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. The Branch Technology engineering team builds software-defined platforms that manage and automate technology across the Retail Branch network. It is a small, focused team where engineers work across the stack, own their delivery end to end, and operate close to the architecture. The team moves fast, holds a high bar, and expects every engineer to bring their full capability to the work. As a Senior Lead Software Engineer, your focus will be the Software Defined Branch platform - contributing to the modernization of the C#,.NET, and PowerShell workflows that drive branch builds and Windows automation at scale. You will work alongside experienced engineers to re-shape those systems into a clean, maintainable, and extensible agentic platform, taking on complex problems and delivering with a level of craft the team can build on. You will be expected to bring AI tools into your daily workflow, engage with emerging agentic patterns on the CDAO Fusion Studio platform, and operate with the kind of autonomy and judgement that a lean, high-performing team depends on.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 problemsDevelops secure and high-quality production code, and reviews and debugs code written by othersDrives 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 systemsLeads 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 architectureRequired qualifications, capabilities, and skills:Formal training or certification on software engineering concepts and 5+ years applied experienceHands-on experience with AI-assisted development tools - VS Code, GitHub Copilot, Claude Code, or equivalent - and working knowledge of LLM integration or agentic tooling in a production contextMinimum 7 years of deep working knowledge of C#,.NET, and PowerShell in production environmentsDemonstrated 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 practicesExperience with Windows platform engineering and automation workflows at scaleStrong understanding of REST API design, relational database development, and system integration patternsProficient in all aspects of the Software Development Life CycleAdvanced understanding of agile methodologies such as CI/CD, Application Resiliency, and SecurityIn-depth knowledge of the financial services industry and their IT systemsAbility to operate with autonomy, take technical ownership, and contribute at a high level within a small, senior teamPreferred qualifications, capabilities, and skills:Experience with front-end frameworks (React or equivalent) - the stack has a UI layerExperience with event-driven architecture or messaging platformsFamiliarity with MCP (Model Context Protocol) or tools-first API design patternsExperience in financial services or a comparable enterprise environmentBackground in platform modernization or legacy system re-architecture
Apply Now
GET
