Senior AI Cloud Engineer - HPC & AI Workloads

Domyn

Milano

On-site

EUR 55,000 - 75,000

Full time

14 days+

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Job summary

Domyn is seeking an experienced AI Cloud Engineer to join our Milan team and help shape Colosseum, our flagship AI supercomputer project. You will build, operate, and optimize the Domyn AI cloud stack powering our services.

You will collaborate with Platform and SRE teams to integrate cloud with hardware, design scalable AI platform architectures, and drive MLOps, security, and performance across our HPC infrastructure. Fluency in English required.

Qualifications

Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field.
At least 6 years of experience as a Cloud AI Engineer or in similar roles.
Strong expertise in at least one major cloud platform: AWS, Azure, or GCP.
Proven experience designing perimeter-facing cybersecurity controls.
Experience designing scalable and secure AI platform architectures.
Experience with Run:ai or similar AI workload orchestration frameworks.
Hands-on with MLOps practices and tools for model training, deployment, monitoring, and lifecycle management.
Strong experience with NVIDIA Dynamo-Triton and other AI inference platforms.
Expertise with NVIDIA AI technologies including NIM, NeMo, KV Cache services.
Proficiency in Python and CI/CD pipelines.
Strong knowledge of PyTorch and TensorFlow.
Experience with containerization and Kubernetes.
Experience with Generative AI technologies.

Responsibilities

In this role, you will develop, operate, and support the Domyn AI cloud stack that powers our user-facing services.
You will work closely with Platform Engineers and Site Reliability Engineers to integrate the cloud platform with the underlying hardware and system components, ensuring a seamless and high-performance infrastructure.
As part of the team, you will design and manage large-scale, high-performance computing systems that support the computational needs of the organization.
You will collaborate with researchers, developers, and engineers to ensure our HPC infrastructure meets the demands of cutting-edge AI workloads and consistently delivers optimal performance.