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Lead Software Engineer - Common Components
JPMorgan ChaseJersey City, NJ, United StatesSenior5+ years
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As a Lead Software Engineer at JPMorganChase within the Common Components 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. You'll deliver critical technical solutions across a portfolio of reusable frameworks, SDKs, and tools adopted firmwide: the plumbing (authentication, resiliency, observability, compliance) thousands of teams no longer have to reinvent. You'll design drop-in, agent-native components that LLMs and modern developer tooling consume by default, and solve genuinely hard problems at a scale few places can offer. Secure, market-leading, and built to last. 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
As a Lead Software Engineer at JPMorganChase within the Common Components 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. You'll deliver critical technical solutions across a portfolio of reusable frameworks, SDKs, and tools adopted firmwide: the plumbing (authentication, resiliency, observability, compliance) thousands of teams no longer have to reinvent. You'll design drop-in, agent-native components that LLMs and modern developer tooling consume by default, and solve genuinely hard problems at a scale few places can offer. Secure, market-leading, and built to last. 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
- 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
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- In-depth knowledge of the financial services industry and their IT systems
- Practical cloud native experience
Preferred qualifications, capabilities, and skills
- Advanced experience in Java
- Experience building SDKs, frameworks, or developer platforms that other engineering teams consume
- Experience with agent-native tooling (MCP, LLM tooling) and AI-assisted development workflows
- Contributions to open-source or internal shared-library ecosystems
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