Systems Resilience Engineer Hybrid Cloud Storage Jobs in San Francisco, CA

Improve system performance, availability, and cloud cost efficiency.

Advance our infrastructure-as-code practices at scale: operate and improve our Terraform Cloud release system, reusable Terraform modules, and the

You have strong software engineering fundamentals and enjoy building systems that other engineers depend on.

Engineer and scale multi-petabyte AI/ML storage systems by integrating Vast, Weka, and Ceph while executing deep cost optimization through automated tiering

Strong understanding of distributed systems, cloud platforms, and production reliability.

storage systems across cloud and in-house environments Build systems for cross-region data movement, replication, and recovery Design

Running stateful systems in production: Postgres, Redis, or search engines like Vespa or Elasticsearch.

LLM inference engine with state-of-the-art AI cloud infrastructure.

fastest LLM inference engine with state-of-the-art GPU cloud infrastructure.

Required Qualifications Bachelor's degree in Electrical Engineering, Mechanical Engineering, Power Systems

engine with state-of-the-art GPU cloud infrastructure.

Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Bring deep technical expertise in at least one area of infrastructure engineering, such as Linux/HPC environments, cloud infrastructure, CI/CD systems

You will work closely with cross-functional teams, including software engineers, product managers, and data scientists, to build and maintain resilient systems that