at J.P. Morgan
Bulge Bracket Investment BanksPosted 2 months ago
No clicks
Lead software engineer role within JPMorgan Chase's Consumer and Community Banking Machine Learning Intelligence Operations. The role requires providing technical leadership, designing and delivering secure, scalable production code, and influencing product and architecture decisions across AI/ML and related domains. Hands-on experience with Java/Python, AWS, and cloud-native deployment is important, with preference for GenAI, AI agents, ML engineering, and Terraform experience. The position contributes to engineering best practices and works as part of an agile team to drive technical solutions.
- Compensation
- Not specified
- City
- Wilmington
- Country
- United States
Currency: Not specified
Full Job Description
Location: Wilmington, DE, United States
We’re looking for a tech leader ready to take their career to new heights. Join the ranks of top talent at one of the world’s most influential companies.
As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking Machine Learning Intelligence Operations, 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 responsibilitiesRegularly 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 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 firm-wide 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 skillsFormal 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) (Java, Python) Practical AWS cloud native experience Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., AI/ML, UI development, mobile development etc.) Ability to tackle design and functionality problems independently with little to no oversight Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
Preferred qualifications, capabilities, and skillsHands on experience with GenAI and AI Agents Experience with ML Engineering Extensive experience with Amazon Web Services (AWS), including deploying, managing, and scaling applications using services such as EC2, S3, Lambda, and RDS Extensive Experience with Terraform for Cloud Deployment is a big plus Proficiency in AWS security best practices and cost optimization strategies Carry out critical tech solutions across multiple technical areas as an integral part of an agile team
Apply now
SIMILAR OPPORTUNITIES
AI Innovation Infrastructure Lead Software Engineer
Compensation
Not specified
City: Wilmington
Country: United States
ExperiencedNo visa sponsorship
Lead software engineer role within JPMorgan Chase's Consumer and Community Banking Machine Learning Intelligence Operations. The role requires providing technical leadership, designing and delivering secure, scalable production code, and influencing product and architecture decisions across AI/ML and related domains. Hands-on experience with Java/Python, AWS, and cloud-native deployment is important, with preference for GenAI, AI agents, ML engineering, and Terraform experience. The position contributes to engineering best practices and works as part of an agile team to drive technical solutions.
Full Job Description
Location: Wilmington, DE, United States
We’re looking for a tech leader ready to take their career to new heights. Join the ranks of top talent at one of the world’s most influential companies.
As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking Machine Learning Intelligence Operations, 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 responsibilitiesRegularly 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 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 firm-wide 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 skillsFormal 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) (Java, Python) Practical AWS cloud native experience Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., AI/ML, UI development, mobile development etc.) Ability to tackle design and functionality problems independently with little to no oversight Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
Preferred qualifications, capabilities, and skillsHands on experience with GenAI and AI Agents Experience with ML Engineering Extensive experience with Amazon Web Services (AWS), including deploying, managing, and scaling applications using services such as EC2, S3, Lambda, and RDS Extensive Experience with Terraform for Cloud Deployment is a big plus Proficiency in AWS security best practices and cost optimization strategies Carry out critical tech solutions across multiple technical areas as an integral part of an agile team
SIMILAR OPPORTUNITIES
Careers
Applications
© 2026 Canary Wharfian. All Rights Reserved.