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The Role
Lead infrastructure software engineering for Linux platforms across on-premises, virtualized, and cloud environments. Responsibilities include building standardized operating system images, automating provisioning and software distribution, managing RPM pipelines, developing REST APIs and microservices, supporting Kubernetes and Windows Server, and troubleshooting complex infrastructure issues. The role also leads adoption of secure, responsible AI-assisted engineering practices and contributes to automation, CI/CD, testing, and operational stability.
Summary Generated by Built In
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As a Lead Software Engineer at JPMorgan Chase within the Infrastructure Platforms team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, 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
As a Lead Software Engineer at JPMorgan Chase within the Infrastructure Platforms team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, 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 breakdown technical problems
- Test and certify new Red Hat operating systems using AI, create multiple image formats, and deliver end-to-end automation using Ansible, Terraform, Jenkins, Bash, and Python.
- Build and maintain a firmwide Standard Operating Environment by creating standard OS images for virtual/physical servers, desktops, GPUs, and containers across on-prem and external clouds.
- Provide services to host and manage software distribution (primarily RPMs) across all clouds, including testing and deployment to production.
- Automate provisioning of Linux desktops for developers and streamline the testing and promotion pipeline for RPM packages.
- Address complex technical issues, and design/develop integration components and REST APIs/microservices.
- Drive adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards.
- 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.
- 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.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Demonstrate strong Linux infrastructure development expertise (OS configuration, system hardening, kernel tuning, package management) across on-prem and cloud environments.
- Show experience in cloud, hybrid, and virtualized infrastructure, and proficiency with modern software languages.
- Design and implement infrastructure automation using Ansible Core or Ansible Automation Platform (playbooks, workflows, reusable roles/modules).
- Apply hands-on experience with containers and Kubernetes-based orchestration, deploying and managing workloads in enterprise environments.
- Use Python to build and maintain automation solutions, including working knowledge of CI/CD pipelines, source control, and build automation tools.
- Support cross-platform infrastructure solutions with experience on Windows Server operating systems.
- Build REST API–based microservices, and provide feedback on Ansible design, architecture, and deployment processes.
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practice
Preferred qualifications, capabilities, and skills
- Leverage knowledge of content delivery and repository management systems (e.g., Red Hat Satellite, Pulp, JFrog Artifactory) to manage software distribution and patch lifecycle.
- Build or contribute to AI agents/skills and agentic workflows that integrate large language models into infrastructure tooling.
- Apply knowledge of Citrix virtualization infrastructure to support enterprise platform needs.
- Initiate and implement ideas to solve business problems and drive innovative solutions.
Skills Required
- Formal training or certification in software engineering concepts
- 5+ years of applied software engineering experience
- Experience with system design, application development, testing, and operational stability
- Strong Linux infrastructure development expertise, including OS configuration, system hardening, kernel tuning, and package management
- Experience with cloud, hybrid, and virtualized infrastructure
- Proficiency with modern software languages
- Hands-on experience with Ansible Core or Ansible Automation Platform, including playbooks, workflows, roles, and modules
- Experience with containers and Kubernetes-based orchestration in enterprise environments
- Python automation development experience
- Working knowledge of CI/CD pipelines, source control, and build automation tools
- Experience supporting Windows Server operating systems
- Experience building REST API-based microservices
- Experience leading approved AI-assisted software development practices and validating AI outputs for correctness, performance, and security
- Understanding of responsible AI use, data sensitivity, secure input and output handling, resiliency, and security expectations
- Experience coaching engineers on safe and compliant AI-assisted engineering adoption
- Knowledge of Red Hat Satellite, Pulp, or JFrog Artifactory for software distribution and patch lifecycle management
- Experience building or contributing to AI agents, skills, or agentic workflows integrating large language models into infrastructure tooling
- Knowledge of Citrix virtualization infrastructure
- Ability to initiate and implement innovative solutions to business problems
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
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The Company
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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