Lead .NET Engineer — Payments & AI-Driven Solutions

JPMorgan Chase & Co.

Irvine (CA)

On-site

USD 140,000 - 170,000

Full time

14 days+

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Job summary

JPMorgan Chase & Co. in Irvine, CA invites a Lead Software Engineer to join the Healthcare Payments team within Commercial and Investment Bank.

You will be a core technical contributor shaping secure, scalable technology products and guiding agile delivery in a fast-paced environment. You will lead design and development of high-quality production code, drive adoption of AI-assisted tooling, review code, and partner with cross-functional teams to meet business objectives while upholding security

Qualifications

Formal training or certification on software engineering concepts and 5+ years applied experience.
Professional experience in leading projects end to end, including defining scope, coordinating cross-functional teams, managing timelines and dependencies, and driving delivery from initial design through production release, ensuring alignment with business objectives and technical standards.
Hands-on experience in a modern object-oriented programming language such as .NET/C#, including designing and building scalable, maintainable, and high-performance applications, with the ability to apply language-specific best practices and design patterns.
Experience in writing, optimizing, and debugging complex SQL queries, including multi-table joins, subqueries, and performance tuning, to support data analysis, troubleshooting, and feature development within the payment space.
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

Responsibilities

Executes creative software solutions, design, development, and technical troubleshooting by leveraging AI agents and AI-assisted tooling to think beyond routine or conventional approaches, building solutions and breaking down complex technical problems more efficiently and autonomously.
Plans and 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