Sr Lead Software Engineer- Connected Commerce

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

Job summary

JPMorganChase's Consumer & Community Banking Connected Commerce Technology team is seeking a Senior Lead Software Engineer to help build trusted, scalable technology products in a secure environment.

You will lead an agile team, guide AI-assisted engineering practices, and contribute to design decisions while coding in Java and AWS services like ECS, EKS, and Postgres. Apply deep technical expertise to deliver impact.

Qualifications

• 5+ years of software engineering experience with Java in AWS contexts.
• Experience leading engineers and setting team expectations for AI-assisted development.
• Hands-on system design, development, testing, and operational stability.

Responsibilities

• Provide technical guidance to business teams, contractors, and vendors.
• Develop secure, high-quality production code and review others' code.
• Drive AI-assisted engineering practices across teams with validated standards.
• Apply knowledge of SDLC tools and automation to improve delivery.
• Influence product design, functionality, and technical operations.
• Act as a function-wide SME and contribute to the engineering community.
• Code in Java, AWS ECS, EKS, and Postgres and use AI agents to improve delivery timelines.

Skills

Java

Leadership

AI-assisted development

Problem solving

Security & resiliency

Cloud native

Tools

AWS ECS

AWS EKS

Postgres

AWS Automation

Splunk

Dynatrace

Grafana

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 Connected Commerce Technology 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
• Codes in Java, AWS ECS, EKS, and Postgres
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Utilizes AI agents (CoPilot, Claude) to improve quality and delivery timelines

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 programming skills in Java
• 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
• 5+ years engineering experience developing and deploying Java based applications in AWS, ECS, EKS, and Postgres; experience AWS Automation is required
• Strong Lead experience with varying levels of Software Engineers
• Experience with multi region service deployments and zero downtime deployment
• Experience in building dashboards using Splunk, Dynatrace or Graffana

Preferred qualifications, capabilities, and skills

• AWS Certification(s)
• AI Certification(s)