Lead Software Engineering, Automation

JPMorgan Chase

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Quick summary

Work type
On-site
Location
Jersey City, NJ
Employment
Full-time
Posted
24 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $186k
$132k most similar roles pay here $248k

This listing doesn't post a salary. Most similar roles pay $159,000–$212,500.

Based on 240 similar postings.

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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 1174 open roles on FindRole.

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At a glance

TL;DR · Lead Software Engineering, Automation

As a Lead Software Engineering - Automation within the Global Technology Infrastructure platform, you will join an agile team focused on building and delivering secure, stable, and scalable technology products. You will serve as a core technical contributor responsible for designing creative software solutions, developing high-quality production code, and troubleshooting complex problems to improve operational stability. Your daily work involves leading evaluation sessions with vendors, leading communities of practice, and driving the adoption of AI-assisted engineering practices across the SDLC. You will utilize advanced programming languages, cloud native technologies, and CI/CD methods to automate remediation of recurring issues. The role requires deep expertise in financial services IT systems and responsible AI usage to ensure secure coding and performance. You will manage technical processes involving artificial intelligence, machine learning, and infrastructure development to enhance the firm's core business objectives.

What you'll do

  • Design, develop, and troubleshoot creative software solutions for complex technical problems.
  • Write high-quality production code while reviewing and debugging code written by other team members.
  • Identify and automate the remediation of recurring issues to improve system operational stability.
  • Lead evaluation sessions with vendors and internal teams to assess architectural designs and technical feasibility.
  • Lead communities of practice to promote the adoption of leading-edge technologies across engineering teams.
  • Drive the adoption and governance of AI-assisted engineering practices to improve code quality and delivery speed.
  • Establish measurable validation standards for secure coding, peer reviews, and automated testing within the SDLC.
  • Coach engineers on compliant usage patterns and security controls for responsible AI in engineering workflows.

What we're looking for

  • At least 4 years of hands-on experience in infrastructure development.
  • Advanced proficiency in one or more programming languages.
  • Hands-on experience in system design, application development, testing, and operational stability.
  • Proficiency in automation, continuous delivery methods, and all aspects of the Software Development Life Cycle.
  • Advanced understanding of agile methodologies including CI/CD, Application Resiliency, and Security.
  • Practical cloud native experience.
  • In-depth knowledge of the financial services industry and their IT systems.
  • Demonstrated experience with enterprise-authorized AI-assisted software development tools and responsible AI usage in engineering workflows.

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