Crusoe10 days ago

Senior Staff Deployment Automation Engineer

RUB 20,833–25,000per month · before tax

MARKET

23,750 ₽median for this role

DevOps Engineer · 6 jobs with disclosed pay

13,000half of the offers: 17,708–26,97989,259

At market · above 50% of offers

Полная занятостьОфис

Responsibilities

01Deployment and Integration Testing Ownership: Completely own deployment and integration testing automation for all bare-metal, on-premise systems across Crusoe's AI Cloud Stack
02CI/CD Automation and Tooling: Build CI/CD platforms that enable developers to quickly test, iterate, and deploy critical, low-level systems and applications
03Multi-Node Scaling Validation: Design and execute large-scale validation tests across multi-node virtualized clusters to ensure linear scaling and stability of GPU workloads
04Configuration Management and Observability: Maintain and scale bare-metal Linux configurations using a mix of custom and off the shelf tooling such as Gitlab, Ansible, AWX, osquery, etc
05Deployment Orchestration: Create control applications to coordinate canary deployments on live production systems, run Blue/Green testing, and perform automatic rollback where necessary
06Cluster Orchestration: Develop and maintain automation frameworks in Python or Go to dynamically provision, configure, and stress-test multi-node virtualized environments
07Create automated test suites leveraging tools like fio, stress-ng, and iperf to ensure performance and multi-tenant isolation of CPU and GPU hosts

0112+ YOE demonstrated ability to competently and independently perform responsibilities plus Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical field
02Experience building and deploying automated integration testing for an AI Cloud Environment, ranging from low-level Linux Systems up to Distributed Control Planes
03Working knowledge of the modern infrastructure stack, including Kubernetes, Docker, Terraform, and Postgres
04Intimate knowledge of CI/CD pipelines and Gitlab Tooling to enable stable infrastructure releases across multiple datacenters
05Previous experience with at least 1-2 configuration management systems, including Ansible, Puppet, Chef, or SaltStack
06Advanced proficiency in Python and/or Bash for automating complex cluster-wide test scenarios
07Knowledge of Linux kernel internals, specifically PCIe topology, VFIO, and memory management (HugePages, IOMMU)
08Familiarity with NVIDIA (CUDA/NCCL) and/or AMD (ROCm/RCCL) stacks in a multi-node context
09Strong understanding of RDMA, RoCE, and InfiniBand protocols and their implementation in virtualized systems