Senior Lead Software Engineer - Machine Learning I/O

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

Job summary

JPMorgan Chase & Co. in Plano, TX, is seeking a Senior Lead Software Engineer to join the Consumer & Community Banking - Machine Learning I/O team.

You will guide an agile group to build trusted, scalable technology products with secure coding and robust production practices. You will drive AI-assisted engineering governance, influence design decisions, and mentor engineers while leveraging Python, Terraform, AWS ECS/EKS, and frontier models like OpenAI and Claude to accelerate delivery and

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands-on experience delivering system design, app development, testing, and operational stability.
• Advanced in Python, Terraform, AWS: ECS, EKS, Docker; frontier models: OpenAI, Claude.

Responsibilities

• Provide technical guidance to support business and technical teams.
• Develop secure, high-quality production code; review others' code.
• Drive AI-assisted engineering practices, governance, and measurable validation standards.
• Apply SDLC toolchain knowledge to improve automation and delivery.
• Influence product design and operational decisions; act as SME.
• Contribute to engineering community; promote best practices.
• Encourage use of leading-edge technologies and diverse team culture.
• Collaborate across teams to drive engineering outcomes.

Skills

Python

AI/ML concepts

Code reviews

Secure coding

Leadership

SDLC tooling

Problem solving

Mentoring

Cloud native

Collaboration

Education

Bachelor's degree in CS/CE/Math or related field

Tools

Terraform

AWS ECS

AWS EKS

Docker

OpenAI

Claude

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 Consumer & Community Banking - Machine Learning I/O 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
• Influences peers and project decision-makers to consider the use and application of leading‑edge technologies
• Adds to the 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 Python, Terraform, AWS: ECS, EKS, Dockers - Frontier Models: OpenAI, Claude
• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, 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
• Current working experience - ChatGPT and LLM and MLIO skillset
• Practical cloud native experience
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field