Senior Site Reliability Engineer - Ops00023

We are a US-based outsource software development company that has been delivering exceptional software experience to our clients since

• , helping technology companies to become industry leaders.

Over the past few years, we've been hiring specialists all over the world while our main development centers were in Ukraine.

Now, we keep expanding and start growing our centers in different parts of the world.

Dev.Pro is open to hire specialists from other countries as well as Ukrainians who live outside of Ukraine now.

We stand with Ukraine and keep supporting 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

Is that you?

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 and your contribution

In this role, you'll apply your expertise to ensure our GPU clusters and AI infrastructure run reliably, efficiently, and at scale.

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

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