Senior Lead Software Engineer - AI-Driven Infra Platforms

Next Frontier Capital; Jersey City (NJ); On-site; USD 170,000 - 260,000; Full time

Job summary

JPMorganChase is seeking a Senior Lead Software Engineer on the Infrastructure Platforms team to drive secure, scalable technology delivery and guide AI-assisted engineering practices across multiple technologies and applications.

The role emphasizes technical leadership, hands-on development, and governance to improve code quality, delivery speed, and operational stability in a complex financial services environment.

Qualifications

• Formal training or certification on software engineering concepts with 5+ years of practical experience.
• Advanced knowledge of at least one programming language and hands-on delivery experience.
• Experience leading AI-assisted development tools with device to validate outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows and security considerations.
• Ability to design and implement solutions with minimal supervision.
• Practical cloud-native experience across platforms.

Responsibilities

• Provides technical guidance to support business and teams.
• Develops secure production code and reviews others' code.
• Drives adoption of AI-assisted engineering practices with measurable validation standards.
• Improves SDLC tooling and automation for faster delivery and reliability.
• Influences product design, application functionality and operational processes.
• Acts as subject-matter expert across enterprise engineering practices.

Skills

Advanced programming languages

AI-assisted DevTools

Responsible AI practices

Independent problem solving

Cloud native engineering

Education

Software engineering education/certification

Tools

Kubernetes

AWS EKS

GCP GKE

Containers

Oracle/MS SQL/Cockroach

Job description

JPMorganChase is seeking a Senior Lead Software Engineer on the Infrastructure Platforms team to drive secure, scalable technology delivery and guide AI-assisted engineering practices across multiple technologies and applications.

The role emphasizes technical leadership, hands-on development, and governance to improve code quality, delivery speed, and operational stability in a complex financial services environment.