Lead Software Engineer - MLOps / ML Platform

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Corporate Sector Technology, 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.

As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

• Design, build, and maintain platform components that support end-to-end ML model lifecycle — from development and training to deployment and monitoring
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
• Build and manage cloud-based infrastructure on AWS (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 Platform team in developing/building automated solutions
• Monitor platform health and model serving infrastructure; 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

Required qualifications, capabilities, and skills:

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated 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 considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
• Hands-on server-side development experience, including Web Services, XML, SOAP, REST, and JMS.
• Experience in building high-volume, low-latency, high-throughput transactional systems.
• Experience in building microservices using Spring Boot, Spring Core, MVC, Web Services and Messaging
• Experience with AWS services - S3, DynamoDB, ECS, EKS, RDS, Lambda, and ALB/NLB.
• Experienced 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

Preferred qualifications, capabilities, and skills:

• 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 framework in development.
• Bachelor’s degree in computer science, Engineering, Mathematics, or a related quantitative field with 10+ years of applied experience, or Master’s degree with 5+ years of applied experience.
• Completed AWS Developer or Solution Architect Certification