Lead Software Engineer - Private Cloud

JPMorgan Chase & Co.; Plano (TX); On-site; USD 140,000 - 170,000; Full time

Job summary

JPMorgan Chase & Co. in Plano, TX seeks a Lead Software Engineer to join the Atlas On Premise & Next Generation Infrastructure Team.

You will be a core technical contributor driving secure, scalable technology across multiple business functions, delivering trusted market-leading products in an agile environment. You will lead AI-assisted engineering, enable CI/CD and cloud practices, and guide architectural decisions while mentoring engineers and coordinating with vendors and internal teams.

Qualifications

• Formal training or certification in software engineering and 5+ years of hands-on experience.
• Experience delivering system design, application development, testing, and operations.
• Proficient in Java or GoLang with cloud and DevOps experience.

Responsibilities

• Executes creative software solutions with design, development, and debugging skills.
• Develops secure, high-quality production code and performs code reviews.
• Leads AI-assisted engineering practices to improve code quality, speed, and operations.
• Uses SDLC tools to enhance automation and tooling value.
• Identifies recurring issues and drives automation for stability.
• Leads evaluation sessions with external vendors and internal teams on architecture.

Skills

Java

GoLang

DevOps

SRE

Cloud computing

AI-assisted development

Agile

CI/CD

Tools

VMware

OpenShift

Hyper-V

Bare metal platforms

AWS

Azure

Google Cloud

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Corporate Sector - Atlas On Premise & Next Generation Infrastructure 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 are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

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
• Develops secure and high-quality production code, and reviews and debugs code written by others
• 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.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

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
• Proficient in coding in Java, GoLang, or equivalent modern programming languages.
• Experience with DevOps and SRE principles.
• Strong experience in Private or Public cloud
• Good understanding of Cloud Infrastructure and API
• 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 practices
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Securit

Preferred qualifications, capabilities, and skills

• Familiarity with VMware, OpenShift, Hyper-V, and bare metal platforms is a plus, but not required.
• Experience with cloud technologies. (AWS, Azure, Google)
• Keen interest in working in a small, high-paced team across the UK and US.
• Passion for innovation, AI, and continuous improvement.