Lead Software Engineer, Python, AWS, Agentic AI

JPMorgan Chase

Confirmed live yesterday Low trust

Quick summary

Work type
On-site
Location
Plano, TX
Employment
Full-time
Posted
49 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $199k
$161k $237k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $169,050–$229,312.

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 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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At a glance

TL;DR · Lead Software Engineer, Python, AWS, Agentic AI

As a Lead Software Engineer within Cloud Foundation Services, you will join an agile team to design and deliver trusted, scalable technology products. You will serve as a hands-on technical leader owning the end-to-end design and delivery of critical systems, specifically focusing on production AI and agentic applications. Your daily responsibilities include implementing system architectures, defining REST and contract-first API standards, and writing high-quality code while establishing quality guardrails for production use. You will utilize Python, AWS, ADK, LangGraph, and FastAPI to build backend services and microservices. The role requires managing relational databases like Postgres and overseeing the SDLC toolchain, including CI/CD and security scanning. You will solve complex problems by translating requirements into reliable services while ensuring operational readiness and performance across various applications.

What you'll do

  • Lead the technical design and implementation of software solutions, system architecture, and integration patterns.
  • Own the hands-on delivery of production AI and agentic applications using ADK and LangGraph.
  • Define and implement RESTful API design standards and ensure usability for external consumers.
  • Write secure, high-quality production code in Python and conduct rigorous code and design reviews.
  • Design and troubleshoot systems with a focus on performance, resiliency, and operational readiness.
  • Build and maintain quality controls and guardrails for production AI applications.
  • Drive improvements across the SDLC toolchain, including CI/CD, test automation, and security scanning.

What we're looking for

  • Formal training or certification on software engineering concepts and 6+ years of applied experience (or equivalent experience).
  • Expert-level proficiency in Python and strong experience building backend services in enterprise environments.
  • Hands-on production experience building, operating, and maintaining AI applications using ADK and LangGraph.
  • Strong experience in system design, application development, testing, and operational stability for production services.
  • Strong experience with API design and implementation using FastAPI or equivalent for REST and microservice development.
  • Experience with relational databases like Postgres including strong SQL fundamentals.
  • Solid understanding of agile methodologies, CI/CD, application resiliency, performance engineering, and security-by-design.
  • Hands-on experience building and operating cloud-based applications on AWS environments (preferred).

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