Lead Software Engineer

JPMorgan Chase & Co. • Wilmington, DE

4d

About The Position

As a Lead Software Engineer at JPMorganChase within Corporate Sector Technology, you will contribute to an agile team building and enhancing secure, stable, scalable technology products. You will deliver critical technology solutions across technical areas in support of the firm’s business objectives. The role focuses on platform components for the end-to-end machine learning model lifecycle, cloud-based infrastructure, and automated deployment and operations. You will also use authorized AI-assisted development tools responsibly, validate generated outputs, and contribute to a diverse, inclusive, continuously improving team culture.

Requirements

• Formal training or certification in software engineering concepts and at least 5 years of applied experience.
• Hands-on experience with enterprise-authorized AI-assisted software development tools for coding, test creation, troubleshooting, or documentation, and the ability to critically evaluate, validate, and refine AI-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 to 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 at least 10 years of applied experience, or a master’s degree with at least 5 years of applied experience.
• Completed AWS Developer or Solutions Architect certification.

Responsibilities

• Design, build, and maintain platform components that support the end-to-end ML model lifecycle, from development and training through deployment and monitoring.
• Apply knowledge of the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• Use authorized AI coding-assistance tools to improve code quality, delivery speed, and productivity, validating outputs through peer review, automated testing, and secure coding standards.
• Build and manage AWS cloud infrastructure, including Databricks, EMR, ECS, and S3, for 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 best practices to improve code quality and delivery speed.
• Contribute to a team culture of diversity, inclusion, and continuous improvement.

Benefits

• Competitive total rewards package, including base salary and, for eligible roles, commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

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