Lead Software Engineer - AI, Cloud & Secure Delivery

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 140,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City, NJ, seeks a Lead Software Engineer to drive secure, scalable technology across the Payments Technology team. You will lead AI-assisted development, deploy ML models, and guide engineering practices within a firmwide SDLC.

As a core technical contributor, you will influence product design, mentor teams, and ensure robust, compliant delivery while advancing enterprise AI initiatives and cloud-native solutions.

Qualifications

• Formal training with 5+ years of software engineering experience.
• Hands-on experience in system design, development, testing and ops.
• Advanced in at least one programming language.
• Deep knowledge of cloud, AI, ML, or related disciplines.
• Experience leading AI-assisted development tools and coding practices.
• Knowledge of responsible AI, data sensitivity, and secure delivery.
• Ability to work independently with minimal oversight.
• Practical cloud-native experience.

Responsibilities

• Provide technical guidance to teams, contractors, and vendors.
• Deploy and serve end-to-end ML models.
• Deploy and maintain cloud-native services.
• Promote AI-assisted engineering practices and secure coding standards.
• Develop production-grade code and review others' code.
• Influence product design and operations decisions.
• Act as SME in one or more focus areas.
• Advocate SDLC frameworks and tools.
• Apply AI tooling to improve automation and outputs.
• Promote adoption of leading-edge technologies.
• Contribute to a diverse and inclusive team culture.

Skills

Programming

Cloud Native

AI/ML

Software Architecture

Independent Problem Solving

Education

CS/CE/Math degree

Tools

OpenAPI

OAuth2

OpenTelemetry

AWS

Cloud-native patterns

Job description

JPMorgan Chase & Co. in Jersey City, NJ, seeks a Lead Software Engineer to drive secure, scalable technology across the Payments Technology team. You will lead AI-assisted development, deploy ML models, and guide engineering practices within a firmwide SDLC.

As a core technical contributor, you will influence product design, mentor teams, and ensure robust, compliant delivery while advancing enterprise AI initiatives and cloud-native solutions.