Sr Lead Software Engineer - Forward Deployed Engineer

JP Morgan Chase; New York (NY); Vor Ort; USD 180.000 - 240.000; Vollzeit

Zusammenfassung

JPMorgan Chase in New York seeks a Senior Lead Software Engineer to drive design and delivery of trusted market-leading technology products across Payments and Global Banking. You will guide agile teams, build secure, scalable software, and mentor engineers.

The role emphasizes AI-assisted development, code governance, and cloud-native solutions, with opportunities to influence product design, tooling, and operations through hands-on leadership.

Qualifikationen

• Formal training or certification in software engineering concepts.
• 5+ years of applied software engineering experience.
• Experience delivering production-grade systems and operational stability.

Aufgaben

• Provides technical guidance to business teams, contractors, and vendors.
• Develops secure, high-quality production code and conducts reviews.
• Drives AI-assisted engineering practices for code quality and delivery speed.
• Uses SDLC tools to improve automation and governance at scale.
• Influences product design, functionality, and technical operations.
• Acts as a subject matter expert and advocates firmwide SDLC frameworks.

Kenntnisse

Software engineering

AI-assisted development

Cloud native

Security

Code review

Leadership

Ausbildung

Software engineering degree

Jobbeschreibung

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