Lead Software Engineer — Agentic AI & Cloud Solutions

Socket.dev

Jersey City (NJ)

On-site

USD 180,000 - 240,000

Full time

6 days ago
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Job summary

JPMorganChase is seeking a Lead Software Engineer to join Enterprise Technology Cloud Foundational Services in Jersey City, NJ. You will lead an agile team delivering cloud-native, scalable applications on AWS, using Terraform for IaC and integrating agentic AI workflows with LangChain and related frameworks.

You will mentor engineers, drive secure coding practices, and shape multi-service architectures with a focus on reliability, performance, and operational excellence across development,

Qualifications

  • Formal training or certification on software engineering concepts and 5+ years applied experience.
  • Experience leading AI-assisted software development tools and guiding teams on validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs/outputs, resiliency, and security.

Responsibilities

  • Deliver end-to-end cloud-native, microservices-based applications on AWS.
  • Design, develop, and deploy resilient, fault-tolerant applications using AWS services (ECS, EKS, Lambda, RDS, S3, API Gateway).
  • Provision, manage, and maintain cloud infrastructure with Terraform across dev/staging/production.

Skills

Python
Flask
Django
AWS
Terraform
CI/CD
RESTful APIs
LangChain
LangGraph
AutoGen
CrewAI
AWS Bedrock
Frontend Basics (HTML/CSS/JS/React)
Agile/Scrum

Education

Bachelor's degree in Computer Science or related field

Tools

AWS CDK
CloudFormation

Job description

JPMorganChase is seeking a Lead Software Engineer to join Enterprise Technology Cloud Foundational Services in Jersey City, NJ. You will lead an agile team delivering cloud-native, scalable applications on AWS, using Terraform for IaC and integrating agentic AI workflows with LangChain and related frameworks.

You will mentor engineers, drive secure coding practices, and shape multi-service architectures with a focus on reliability, performance, and operational excellence across development,

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