Lead Software Engineer - Linux Infrastructure Platform
JPMorganChase
San Francisco, CA, US
Onsite
2026-06-21
Announced salary
$152k–$215k
Market rate in San Francisco : $97K - $159K (median $124K) · BLS OEWS 2025
Job description
**JOB DESCRIPTION**
Become a member of a team where you can contribute significantly to shaping the future of a world\-renowned and influential company. Among top performers, you can make a direct and meaningful impact.
As a Lead Software Engineer\- Linux at JPMorgan Chase within the Corporate Sector Compute Infrastructure Platform (CIP) organization, you exhibit both depth and breadth of knowledge regarding software, applications, and technical processes across multiple technical disciplines. You also have a specialization in a specific domain within infrastructure engineering to drive programs or initiatives consisting of multiple technologies and applications.
Job Responsibilities
* Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
* Using AI to test and certify new Red Hat operating systems, create multiple image formats, and develop end\-to\-end automation capabilities using Ansible, Terraform, Jenkins, Bash, and Python, while exploring opportunities to learn and code with Python, Go, Rust and AI agents like Claude and Co\-Pilot.
* Address complex technical issues and develop integration elements and APIs.
* Inspire and lead a team with a passion for leading\-edge technologies.
* Leverage the global network to tackle significant challenges and drive innovation.
* Join the Linux Engineering team to deliver a Standard Operating Environment to the firm.
* Create standard OS Images for Virtual and Physical servers, Desktop, GPU, and Containers for both on\-premise and external Clouds.
* Provide services to host and manage software (primarily RPMs) across all clouds.
* Automate the provisioning of Linux Desktops for developers and streamline the testing and deployment of RPM packages to production.
* Drives team adoption of enterprise\-authorized AI\-assisted engineering practices within the work