Lead DevOps Engineer, Cloud Products and Patterns
Core
Lead DevOps Engineer for Cloud Products Framework group, evangelizing and developing cloud product strategies and best practices to support machine learning capabilities across the organization.
Role type
Manager-level Machine Learning DevOps Engineer
Builds
Cloud infrastructure deployments and ML-related cloud product capabilities on Azure and AWS
Domain
Financial markets infrastructure / Cloud / Machine Learning
Deliverable
production ML models | infrastructure
Required skills
Azure, AWS, Infrastructure as Code (IaC), CI/CD pipelines, Docker, ML model deployment, architecture principles, design methodologies
Preferred skills
Thought leadership, mentoring, technical strategy, research, adapting to new technologies
Technologies
Azure, AWS, Docker, GitHub, GitLab, Java, JavaScript, C#, Python
Responsibilities
Provide direction and mentoring on design, development, and implementation best practices; Create and implement technical solution designs; Support technical roadmaps for ML solution strategy; Develop technical strategy and research to enhance and scale ML cloud capabilities; Design, build, and deliver ML models and components for internal use cases; Inform ML infrastructure decisions using understanding of modeling techniques; Evaluate new technologies and propose patterns for use; Build relationships with internal and external customers.
Seniority
Manager, hands-on IC with leadership
