Sr Lead Software Engineer - Forward Deployed Engineer

JP Morgan Chase; New York (NY); On-site; USD 180,000 - 210,000; Full time

Job summary

Senior Lead Software Engineer at JPMorganChase within the Payments and Global Banking, Commercial & Industrial Lending division drives the delivery of trusted technology products in a secure, scalable way. You’ll lead agile teams, guide AI-assisted engineering practices, and influence product design and operational processes across the SDLC.

The role emphasizes advanced coding skills, responsible AI usage, and collaboration with bankers to translate complex tech into business value.

Qualifications

• 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 enterprise-authorized AI-assisted software development tools within the work environment with the ability to set team expectations for validating AI outputs
• 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
• Ability to tackle design and functionality problems independently with little to no oversight
• Practical cloud native experience

Responsibilities

• Provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes
• Applies knowledge of tools within the Software Development Life Cycle toolchain to improve automation at scale
• 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

Skills

Technical guidance

Production code

AI-assisted tooling

Secure coding

Responsible AI

Cloud-native

Independence

Data Science background

Programming languages

Tools

AI-assisted development tools

Job description

As a Senior Lead Software Engineer at JPMorganChase within the Payments and Global Banking, Commercial & Industrial Lending division, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job Responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
• 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

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 enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.
• Ability to tackle design and functionality problems independently with little to no oversight
• Practical cloud native experience

Preferred qualifications, capabilities, and skills

• Background in Data Science, Machine Learning, Statistics, Mathematics, Operations Research, or related field.
• Strong interpersonal and communication skills, with the ability to partner effectively with bankers and translate complex technical concepts into compelling business narratives
• Demonstrated storytelling and presentation skills, with experience communicating insights to both technical and non-technical audiences
• Genuine curiosity and enthusiasm for AI and emerging technologies, including hands-on experience with generative AI tools and prompt engineering
• Comfort leveraging AI-assisted development approaches, including rapid prototyping, AI-enabled coding workflows, and experimentation with new technologies