Lead Software Engineer - Machine Learning

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

We 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 Commercial and Investment Bank Payments Technology 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.

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• You will be responsible for deploying and serving end to end ML models.
• Deploy and maintain services in a fully cloud native environment.
• 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.
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• 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.
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Adds to the team culture of diversity, opportunity, inclusion, and respect

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)
• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• 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
• Ability to tackle design and functionality problems independently with little to no oversight
• Practical cloud native experience
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred qualifications, capabilities, and skills

• Proficient in Python programming for building traditional ML models and APIs
• Good understanding of designing and deploying OpenAPI compliant API services.
• Good understanding of building Agentic workloads using AI frameworks such as Google ADK and LLamaIndex.
• Ability to configure Oauth2 based authentication and authorization flows for applications.
• Good understanding of OpenTelemetry and modern microservice deployment patterns.
• Good understanding of AWS services ability to deploy high reliability cloud native workloads.
• Knowledgeable in building and debugging ML models built using supervised and unsupervised learning algorithms.