Backend Engineer, Modular

• 5+ years of experience working in backend engineering
• Experience with Cloud Providers (AWS, GCP, Azure, neoclouds)
• Experience with kubernetes and operating your own services
• A passion for building and operating high performance, low toil, observable systems
• Experience in machine learning technologies and use cases
• Creativity and curiosity for solving complex problems, a team-oriented attitude that enables you to work well with others, and alignment with our culture
• Strongly identifies with our core company cultural values
• For candidates who fall outside of the listed requirements, we nevertheless encourage you to apply as we may have openings that are lower/higher level than the ones advertised

Desirable

• Our goal is to make inference both the fastest and most scalable while also building an easiest platform for deploying and scaling models for enterprises and developers alike
• We're seeking engineers who are passionate about pushing the boundaries of distributed inference systems and enjoy working at the intersection of large-scale systems and machine learning
• We are looking for candidates based on their breadth and depth of experience in backend engineering, AI inference, and distributed systems development
• If this sounds exciting, we invite you to join our world-leading AI infrastructure team and help drive our industry forward!
• Build the multi-cloud, multi-tenant platform powering Modular’s inference services
• Build fault-tolerant, low toil services able to make use of resources in a variety of hardware platforms Clouds (Tier 1 Cloud Providers & neoclouds)
• Push the envelope for operational excellence with request-to-kernel observability, multi-cloud deployments, cold-start optimizations, and more
• Build helm charts, kubernetes operators, and more to make a create simple, effective, aintainable deployments