Builds systems to manage cloud and bare-metal fleets at scale, integrating hardware metrics with job scheduling and leveraging LLMs for vendor coordination. Requires expertise in cluster and server-level systems like Kubernetes, Terraform, and Linux.
230k – 490k/yr
HybridFullstack Engineering
About the role
In this role, you will:
Design and build systems to manage both cloud and bare-metal fleets at scale.
Develop tools that integrate low-level hardware metrics with high-level job scheduling and cluster management algorithms.
Leverage LLMs to coordinate vendor operations and optimize infrastructure workflows.
Automate infrastructure processes, reducing repetitive toil and improving system reliability.
Collaborate with hardware, infrastructure, and research teams to ensure seamless integration across the stack.
Continuously improve tools, automation, processes, and documentation to enhance operational efficiency.
You might thrive in this role if you:
Have strong software engineering skills with experience in large-scale infrastructure environments.
Possess broad knowledge of cluster-level systems (e.g., Kubernetes, CI/CD pipelines, Terraform, cloud providers).
Have deep expertise in server-level systems (e.g., systems, containerization, Chef, Linux kernels, firmware management, host routing).
Are passionate about optimizing the performance and reliability of large compute fleets.
Thrive in dynamic environments and are eager to solve complex infrastructure challenges.
Value automation, efficiency, and continuous improvement in everything you build.
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