Senior Site Reliability Engineer
hace 3 semanas
Overview We are a US-based outsource software development company that has been delivering exceptional software experience to our clients since 2011, helping technology companies to become industry leaders. Over the past few years, we’ve been hiring specialists worldwide while our main development centers were in Ukraine. We now continue to expand and grow centers in different parts of the world. Dev.Pro is open to hire specialists from other countries as well as Ukrainians living outside of Ukraine. We stand with Ukraine and support our people by offering a friendly remote environment while adhering to the values of democracy, human rights, and state sovereignty. About This Opportunity We invite a skilled and experienced Senior Site Reliability Engineer to join our fully remote, international team. In this role, you’ll ensure our GPU clusters and supporting AI infrastructure are reliable, resilient, automated, and observable at scale. You’ll work with NVIDIA, Slurm, and Kubernetes to turn bare-metal GPU clusters into high-performance AI infrastructure. What’s in it for you Join a fast-scaling company shaping the future of AI infrastructure in Europe Scale, optimize, and automate bare-metal GPU clusters for some of the most compute-intensive AI workloads Collaborate with a top-tier international team and grow through global AI and cloud events Qualifications 5+ years as an SRE, DevOps, or HPC engineer in large-scale compute environments Expertise in HPC workload managers (Slurm, PBS Pro, LSF) Strong Python or Go skills for automation and observability Infrastructure-as-code experience (Terraform, Ansible, Helm) Kubernetes experience for AI workloads (vLLM, Ray, Triton Inference Server) GPU resource management knowledge (MIG, NCCL, CUDA, containers) Experience with storage systems (VAST, WEKA, DDN) and parallel filesystems (GPFS, Lustre) Linux systems engineering, CI/CD, and configuration management skills Strategic thinking with strong technical and business communication Organization, autonomy, adaptability Advanced English level Desirable Exposure to BlueField DPU, NVSwitch, or Slurm-on-Kubernetes hybrid orchestration Key Responsibilities Automate deployment, scaling, and lifecycle management of GPU clusters Optimize HPC scheduling and AI workload orchestration, including job preemption and GPU affinity Implement observability and monitoring across GPU, NVLink, InfiniBand, and storage layers Ensure reliability and uptime through SLOs, error budgets, chaos testing, and automated remediation Collaborate with teams to optimize performance, resources, and fault recovery at petascale Employment details Seniority level: Mid-Senior level Employment type: Full-time Job function: Other Industries: IT Services and IT Consulting Referrals increase your chances of interviewing at Dev.Pro by 2x #J-18808-Ljbffr
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