Senior GPU Deployment & CI/CD Automation Engineer

Crusoe; San Francisco (CA); On-site; USD 170,000 - 205,000; Full time

Benefits offered by this job

Competitive compensation and equity

Restricted Stock Units

Paid time off

Health, dental & vision insurance

HSA contributions

Parental leave

Life insurance

Disability insurance

Tuition reimbursement

Mental health support

Commuter benefits

Cell phone stipend

401(k) with match

Volunteer time off

Global travel insurance

Daily meals allowance

Location-specific perks

Job summary

Crusoe, an energy-first AI infrastructure company, is seeking a Senior Deployment Automation Engineer for the Compute Team. You’ll own deployment and testing automation for large-scale multi-node GPU clusters and build CI/CD pipelines across Crusoe’s AI Cloud.

Design and execute multi-node validation, implement canary deployments, Blue/Green testing, and robust rollback strategies. Work with Python or Go to automate provisioning, configuration, and observability across bare-metal and virtualized

Qualifications

• 5+ years of experience in deployment automation and distributed systems.
• Experience building automated integration testing across Linux to distributed control planes.
• Proven track record deploying microservice apps end-to-end in distributed cloud environments.
• Understanding of cloud resource abstraction in IaaS environments.
• Knowledge of modern infra stack: Kubernetes, Docker, Terraform, and Postgres.

Responsibilities

• Deployment and Integration Testing: Develop deployment and integration testing on bare-metal, on-premise systems across Crusoe’s AI Cloud Stack.
• CI/CD Automation and Tooling: Build CI/CD platforms that enable developers to quickly test, iterate, and deploy critical, low-level systems and applications.
• Multi-Node Scaling Validation: Design and execute large-scale validation tests across multi-node virtualized clusters to ensure linear scaling and stability of GPU workloads.
• Configuration Management and Observability: Maintain and scale bare-metal Linux configurations using a mix of custom and off-the shelf tooling such as Gitlab, Ansible, osquery, etc.
• Deployment Orchestration: Create control applications to coordinate canary deployments on live production systems, run Blue/Green testing, and perform automatic rollback where necessary.
• Cluster Orchestration: Develop and maintain automation frameworks in Python or Go to dynamically provision, configure, and stress-test multi-node virtualized environments.
• Create automated test suites leveraging tools like fio, stress-ng, and iperf to ensure performance and multi-tenant isolation of CPU and GPU hosts.

Skills

Kubernetes

Docker

Terraform

Postgres

Gitlab

Ansible

Puppet

Chef

SaltStack

Linux kernel internals

PCIe topology

VFIO

HugePages

IOMMU

CUDA

NCCL

RDMA

RoCE

InfiniBand

MNNVL

Device plugins

Education

Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical field

Tools

Gitlab

Ansible

osquery

Python

Go

Kubernetes

Docker

Terraform

PostgreSQL

Job description

Crusoe, an energy-first AI infrastructure company, is seeking a Senior Deployment Automation Engineer for the Compute Team. You’ll own deployment and testing automation for large-scale multi-node GPU clusters and build CI/CD pipelines across Crusoe’s AI Cloud.

Design and execute multi-node validation, implement canary deployments, Blue/Green testing, and robust rollback strategies. Work with Python or Go to automate provisioning, configuration, and observability across bare-metal and virtualized