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Symbolica AI · 23 hours ago

DevOps Engineering Lead - ML Infrastructure

San Francisco, CA

Full-time

Onsite

Senior Level

5+ years exp

Symbolica AI is an AI research lab focused on applying category theory to enhance logical reasoning in machines. The DevOps Engineering Lead will design and optimize the infrastructure and tools to transition research prototypes into production-ready software, ensuring reliability and performance in machine learning applications.

Artificial Intelligence (AI)Software

Hiring Manager

Davon K.

Responsibilities

Focus on improving the reliability and performance of our Lambda cluster and model training pipeline

Assist in managing multiple Kubernetes environments across cloud providers

Maintain and build the internal observability platform across all environments, covering everything from GPUs, AI applications and distributed backend systems

Take ownership of our model training and deployment systems, bringing them to a more scalable, production-ready state

Aid in building comprehensive CI tests for GitOps repositories and promotion systems

Build and maintain different environments for research and client facing products according to best practices

Qualification

DevOpsMLOpsKubernetesCloud-native architecturesLinuxGPU managementRustGolangPythonSoftware engineeringProblem-solving

Required

5+ years of experience in DevOps, or infrastructure roles, with at least 2 years in machine learning infrastructure or MLOps

Proficient in cloud-native architectures, with the ability to make the right tradeoffs where necessary

Experienced with Linux, containers, GPU management, Nix, Kubernetes and an interest in making sure the infrastructure behind our models is secure by design

Exceptional problem-solving skills with the ability to nimbly solve edge-cases with minimum disruption

Solid software engineering skills in Rust, Golang or Python