Lead Software Engineer - Linux Infrastructure Platform

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 environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.


* Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Required Qualifications, Capabilities, and Skills


* Formal training or certification on software engineering concepts and 5+ years applied experience.


* Demonstrates strong skills in Linux Infrastructure development, including OS-level configuration, system hardening, kernel tuning, package management, and building scalable, automated infrastructure pipelines across on-premise and cloud environments.


* Exp...