Lead Cloud & AI Engineer

JP Morgan Chase

Jersey City (NJ)

Presencial

USD 140.000 - 210.000

Jornada completa

Hace 2 días
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Descripción de la vacante

JPMorganChase in Jersey City seeks a Lead Software Engineer to advance cloud-native, AI-enabled platforms within Enterprise Technology Cloud Foundational Services. You will design, build, and deliver secure, scalable solutions across microservices stacks and multi-region deployments.

You will lead the adoption of enterprise AI tooling, guide best practices in code quality, testing, and incident analysis, and collaborate with agile teams to accelerate delivery while maintaining reliability and

Formación

  • Formal training or certification in software engineering concepts and 5+ years applied experience.
  • Experience leading AI-assisted development and tooling adoption.
  • Strong cloud and AWS proficiency with high availability patterns and security.

Responsabilidades

  • Design, develop, and troubleshoot software with scalable microservices.
  • Deliver cloud-native apps on AWS using ECS/EKS/Lambda/API Gateway.
  • Implement infrastructure as code with Terraform across environments.
  • Build agentic AI apps using LangChain, LangGraph, or AWS Bedrock Agents.
  • Lead enterprise AI practices and secure coding standards.
  • Improve reliability through incident analysis and performance optimization.
  • Lead communities of practice across Software Engineering.
  • Investigate and resolve issues to prevent recurrence.
  • Ensure zero-downtime releases and data performance.

Conocimientos

Software engineering
AI-assisted development
AWS
Microservices
CI/CD
Secure coding
Distributed systems
Scrum/Agile

Educación

Bachelor's degree in Computer Science or related field

Herramientas

AWS
Terraform
CloudFormation
AWS CDK
LangChain
LangGraph
AutoGen
CrewAI

Descripción del empleo

JPMorganChase in Jersey City seeks a Lead Software Engineer to advance cloud-native, AI-enabled platforms within Enterprise Technology Cloud Foundational Services. You will design, build, and deliver secure, scalable solutions across microservices stacks and multi-region deployments.

You will lead the adoption of enterprise AI tooling, guide best practices in code quality, testing, and incident analysis, and collaborate with agile teams to accelerate delivery while maintaining reliability and

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