Lead Java Engineer: AI-Driven, Cloud-Native Platform Leader

Next Frontier Capital; Chicago (IL); Presencial; USD 150.000 - 190.000; Jornada completa

Descripción de la vacante

JPMorganChase is seeking a Lead Software Engineer to join the Commercial & Investment Bank - Marketing Platform team. You will be a core technical contributor delivering trusted, scalable technology products in a secure environment.

The role emphasizes AI-assisted development, security, and rapid delivery, including leading engineering practices, collaborating with senior stakeholders, and driving automation across the SDLC.

Formación

• 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 programming languages such as Java, C# and .Net.
• Experience leading the use of approved AI-assisted software development tools with validation of outputs.

Responsabilidades

• Executes creative software solutions, design, development, and debugging with ability to think beyond routine approaches.
• Develops secure high-quality production code, and reviews and debugs code written by others.
• Leads evaluation sessions with external vendors, startups, and internal teams to drive architecture decisions.
• Leads communities of practice across Software Engineering to promote new technologies and best practices.
• Drives adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed.
• Partners with stakeholders to translate strategic objectives into executable technology roadmaps and delivery plans.

Conocimientos

Java

C#

.NET

CI/CD

Cloud

AI-assisted engineering

Herramientas

AWS

Azure

Descripción del empleo

JPMorganChase is seeking a Lead Software Engineer to join the Commercial & Investment Bank - Marketing Platform team. You will be a core technical contributor delivering trusted, scalable technology products in a secure environment.

The role emphasizes AI-assisted development, security, and rapid delivery, including leading engineering practices, collaborating with senior stakeholders, and driving automation across the SDLC.