Lead Software Engineer

JPMorgan Chase

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Plano, TX
Posted
4 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $198k
$174k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $184,900–$211,200.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1138 open roles on FindRole.

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At a glance

TL;DR · Lead Software Engineer

As a Lead Software Engineer - AI4TECH within the Corporate Technology AI4Tech Scaling Team, you will develop critical software products to drive business advancement. Working in an agile environment, you will build, enhance, and deliver secure, stable, and scalable solutions while applying engineering best practices. Your daily responsibilities include administering GitHub Copilot and Claude Code platforms, developing custom skills and agent configurations, and designing cloud infrastructure using Terraform and AWS services like EKS, ECS, Lambda, S3, SQS, SNS, and Secrets Manager. You will build internal tooling, automation pipelines, and reporting dashboards to track AI tool usage and cost optimization. Required expertise includes Python, Java, CI/CD tools like Jenkins and Spinnaker, Docker, Kubernetes, and prompt engineering for Anthropic API integration. You will solve technical challenges regarding LLM-based developer tools, RAG patterns, and responsible AI guardrails.

What you'll do

  • Administer and scale GitHub Copilot and Claude Code platforms across the enterprise.
  • Develop custom Copilot Skills and Agent configurations to encode domain-specific knowledge.
  • Design and provision cloud infrastructure using Terraform and AWS services.
  • Build internal tooling, automation pipelines, and self-service portals for AI tool adoption.
  • Write, review, and debug high-quality production code in Python or Java.
  • Create reporting dashboards and metrics pipelines to track AI usage and cost optimization.
  • Automate the remediation of recurring issues to improve operational stability.
  • Provide technical guidance to development teams onboarding onto AI coding assistants.

What we're looking for

  • Formal training or certification in software engineering concepts.
  • Hands-on experience delivering system design, application development, testing, and operational stability.
  • Working knowledge and experience in backend development using Python and Java.
  • Experience with Infrastructure as Code (Terraform) and AWS services including EKS, ECS, Lambda, S3, SQS, SNS, and Secrets Manager.
  • Experience administering GitHub Copilot Business/Enterprise platforms, including seat management, policy configuration, and audit logging.
  • Experience authoring Copilot custom instructions, skills, and agent modes to standardize AI behavior.
  • Experience with Claude Code, Anthropic API integration, prompt engineering, and MCP server configuration.
  • Experience building Claude Code hooks for automated code validation, security scanning, and workflow enforcement.

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