JPMorganChase
Senior Lead Software Engineer - Machine Learning Intelligence Operations
JPMorganChase, Wilmington, Delaware, us, 19894
Overview
Senior Lead Software Engineer - Machine Learning Intelligence Operations at JPMorgan Chase within the Consumer and Community Banking division. 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 technical expertise and problem-solving across multiple technologies and applications.
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 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 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) (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 Skills
Hands 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
Proficiency in AWS security best practices and cost optimization strategies
About Us Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion. We do not discriminate on the basis of protected attributes and provide reasonable accommodations for applicants and employees. Visit our FAQs for more information about requesting an accommodation.
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Senior Lead Software Engineer - Machine Learning Intelligence Operations at JPMorgan Chase within the Consumer and Community Banking division. 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 technical expertise and problem-solving across multiple technologies and applications.
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 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 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) (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 Skills
Hands 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
Proficiency in AWS security best practices and cost optimization strategies
About Us Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion. We do not discriminate on the basis of protected attributes and provide reasonable accommodations for applicants and employees. Visit our FAQs for more information about requesting an accommodation.
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