Lead Software Engineer - Java Fullstack (Risk Framework)

About the role

As a Lead Software Engineer at JPMorganChase within Corporate Technology, you serve as a senior technical lead on an agile team, driving delivery of trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for setting technical direction, owning end-to-end delivery across full stack engineering and DevOps/SRE practices, and proactively reducing operational risk through automation and resilient design.

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 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
• Applies SRE and reliability engineering practices, including observability, incident response, root cause analysis, and reliability improvements
• Designs and operates APIs and integration patterns (REST required; event-driven patterns)
• Implements automated testing across the stack (unit, integration, UI) and quality engineering practices
• Leads effective use of approved AI-assisted software development tools, setting team expectations for validating AI outputs for correctness, performance, and security
• Coaches engineers on responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations

Requirements

• Formal training or certification on software engineering concepts and 5+ years applied experience in Java
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Proficiency in one or more programming languages; strong hands-on experience with Java and Spring Boot (or equivalent frameworks)
• Strong experience building frontend applications using React and TypeScript, including working with design systems and component libraries
• Strong knowledge of DevOps practices: CI/CD, infrastructure automation, release management, and operational readiness
• Solid understanding of the Software Development Life Cycle and agile methodologies, including Application Resiliency and Security fundamentals
• Experience with automated testing across the stack (unit, integration, UI) and quality engineering practices
• Demonstrated experience leading effective use of approved AI-assisted software development tools
• Strong understanding of responsible AI use in engineering workflows, including secure handling of inputs/outputs and adherence to resiliency and security expectations

Preferred Qualifications

• Practical cloud-native experience (containers, orchestration, managed services)
• Familiarity with distributed systems patterns (resilience, idempotency, rate limiting, caching)
• Familiarity implementing security controls in the SDLC (threat modeling, secrets management, secure-by-design)
• On-call ownership of service health with a focus on reducing toil through automation
• Exposure to data and analytics tooling for operational insights (reliability trends, latency, error analysis)
• Exposure modernizing legacy systems without disrupting business delivery

Benefits

• Comprehensive health care coverage
• On-site health and wellness centers
• Retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching
• Discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions

Pay

Competitive total rewards package including base salary determined based on the role, experience, skill set, and location. Commission-based pay and/or discretionary incentive compensation may be available for eligible roles.