We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Sr.Lead Software Engineer at JPMorgan Chase within the Corporate 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.
Job responsibilities
Design and implement enterprise-grade Machine Learning platforms capable of deploying and running predictive models at scale.
Develop web applications using service-oriented and microservices architecture with Java and Python frameworks.
Integrate solutions with AWS Cloud Services, including compute, storage, databases, and security components.
Build tools and automation solutions for monitoring, provisioning, and streamlining processes, services, and reporting.
Establish comprehensive monitoring and alerting frameworks to ensure optimal performance, scalability, availability, and reliability.
Define standards, best practices, and governance guidelines for the ML Platform.
Partner closely with Product teams to design, build, and deliver capabilities through agile sprints.
Leverage strong operational insights to recommend improvements to upstream products, processes, and policies that enhance the user experience.
Utilize AI agents and emerging technologies to build prototypes for demonstration purposes, presenting to peer groups, business partners, and senior leadership.
Deliver high-quality results within tight deadlines while maintaining a strong focus on code optimization, performance tuning, and engineering best practices.
Required qualifications, capabilities, and skills
Experienced with pair programming agents such as GitHub Copilot to accelerate prototyping.
Experience developing in large-scale corporate environments
Preferred qualifications, capabilities, and skills
Experience in MLOps and building model serving applications
Experience in observability and production management tools (ex. Splunk / Dynatrace / Grafana)