Sr Lead Software Engineer - Private Cloud

JPMorgan Chase & Co.; Plano (TX); On-site; USD 150,000 - 230,000; Full time

Job summary

JPMorgan Chase & Co. in Plano, TX is seeking a Senior Lead Software Engineer to drive secure, scalable product delivery within an agile, enterprise context.

The role emphasizes leadership of engineering teams, adoption of AI-assisted development tools, and strong cloud experience across private or public environments. A high bar for quality and security is expected.

Qualifications

• Formal training or certification in software engineering concepts with 5+ years of applied experience.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Proficient in Java, GoLang, or equivalent modern languages.

Responsibilities

• Provide technical guidance to business and technical teams, contractors, and vendors.
• Develop secure, high-quality production code and perform reviews/debugging of others' code.
• Advocate AI-assisted engineering practices to improve code quality, delivery speed, and operations.

Skills

Software engineering

System design

Java

GoLang

Cloud

Cloud APIs

Debugging

AI tools

Independent problem solving

Leadership

Education

Software engineering certification

Tools

VMware

OpenShift

Hyper-V

Bare metal

Job description

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus

• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle

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.
• Strong experience in Private or Public cloud
• Good understanding of Cloud Infrastructure and API
• Experience developing, debugging, and maintaining code in a large corporate environment.
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.
• Ability to tackle design and functionality problems independently with little to no oversight.

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.