Senior Lead Software Engineer - Full Stack / AWS

JPMorgan Chase & Co.; Houston (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorganChase Houston is seeking a Senior Lead Software Engineer to join the Markets Tech team and drive secure, scalable product development with AI-assisted practices across the SDLC. You will partner with product control, market risk, and regulatory groups while delivering trusted technology solutions in a modern cloud-native environment.

The role emphasizes cross-functional collaboration, hands-on coding, and leadership to elevate code quality, incident readiness, and engineering standards

Qualifications

• 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.
• Advanced in one or more programming language(s) (e.g., Python, Java, React, Big Data Platforms, etc.)
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment 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
• Practical cloud native experience (e.g., AWS)

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 AI-assisted engineering practices to improve code quality, delivery speed, and production readiness
• Uses SDLC tools and AI-assisted capabilities to improve automation across projects
• 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
• Acts as an advocate for firmwide SDLC frameworks, tools, and practices across the engineering organization
• Adds to team culture of diversity, opportunity, inclusion, and respect

Skills

Python

Java

React

Big Data Platforms

AI-assisted tools

Secure coding

AWS

System design

Leadership

Education

Formal training or certification in software engineering

Tools

AI-assisted development tools

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 Commercial & Investment Banking - Markets Tech - Trading / MAC Risk Central 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.

The team focuses on cross-market solutions for market risk, model risk, and treasury functions. Technology spans multiple platforms and languages with an AI-first mindset. You will directly engage with product and user teams, spanning product control, market risk, QTR, VCG, and various Regulatory functions.

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
• Adds to team culture of diversity, opportunity, inclusion, and respect

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
• Advanced in one or more programming language(s) (e.g., Python, Java, React, Big Data Platforms, etc.)
• 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
• Practical cloud native experience (e.g., AWS)