Lead Software Engineer

JPMorganChase • Wilmington, NC

5d

About The Position

As a Lead Software Engineer at JPMorganChase within Corporate Sector Technology, you will contribute to an agile team building and delivering secure, stable, scalable technology products. You will develop platform components supporting the end-to-end machine learning model lifecycle, from development and training through deployment and monitoring, and deliver technology solutions across multiple technical areas in support of business objectives.

The role includes building and managing AWS-based infrastructure for model training and serving, automating deployment and release processes, and monitoring platform health. You will use enterprise-authorized AI-assisted development tools responsibly to improve code quality and productivity, validating their output through review, testing, and secure coding practices. You will also support the Platform team’s automation efforts and contribute to a diverse, inclusive culture of continuous improvement.

Requirements

• Formal training or certification in software engineering concepts and at least 5 years of applied experience.
• Hands-on experience using enterprise-authorized AI-assisted software development tools for tasks such as coding, test creation, troubleshooting, or documentation, with the ability to evaluate, validate, and refine generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and security and resiliency expectations; ability to guide peers on safe and effective use.
• Hands-on server-side development experience, including Web Services, XML, SOAP, REST, and JMS.
• Experience building high-volume, low-latency, high-throughput transactional systems.
• Experience building microservices using Spring Boot, Spring Core, MVC, Web Services, and Messaging.
• Experience with AWS services including S3, DynamoDB, ECS, EKS, RDS, Lambda, and ALB/NLB.
• Experience with pair-programming agents such as GitHub Copilot to accelerate prototyping.
• Strong knowledge of RDBMS, schema design, SQL, query optimization, indexing, joins, and JDBC.
• Agile development experience with Scrum or similar methodologies.
• Excellent problem-solving skills and the ability to think critically and creatively.

Nice To Haves

• Experience managing projects end-to-end, from requirements scoping through successful launch.
• Experience in MLOps and building model-serving applications.
• Experience with artificial intelligence and machine learning tools and frameworks in development.
• Bachelor’s degree in computer science, engineering, mathematics, or a related quantitative field with 10+ years of applied experience, or a master’s degree with 5+ years of applied experience.
• Completed AWS Developer or Solution Architect certification.

Responsibilities

• Design, build, and maintain platform components that support the end-to-end ML model lifecycle, from development and training to deployment and monitoring.
• Use software development lifecycle tools, enterprise-authorized AI-assisted development, and automation capabilities to improve automation value.
• Use enterprise-authorized AI coding tools for activities such as code generation, refactoring, unit test creation, and documentation, while validating outputs through peer review, automated testing, and secure coding standards.
• Build and manage AWS-based cloud infrastructure, including Databricks, EMR, ECS, and S3, to support model training and serving workloads.
• Automate model deployment, testing, and release processes within the SDLC/MLOps toolchain.
• Support the Platform team in developing and building automated solutions.
• Monitor platform health and model-serving infrastructure, and identify and resolve performance and stability issues.
• Apply AI-assisted development tools and practices to improve code quality and delivery speed.
• Contribute to a team culture of diversity, inclusion, and continuous improvement.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed