DevOps / SRE / AI Infrastructure Engineers

CELOTTI TECH TALENT (SINGAPORE) PTE. LTD.; Palo Alto (CA); Presencial; USD 150.000 - 230.000; Tempo integral

Resumo da vaga

Celotti Tech Talent is seeking DevOps/SRE/AI Infrastructure Engineers for Palo Alto, CA. This role focuses on building and operating scalable Linux-based infrastructure, with hands-on work in Kubernetes, Docker, and GPU-enabled environments to support AI and robotics workloads.

We value experience across cloud and on-premises hardware, and collaboration with researchers and hardware teams to push the boundaries of AI infrastructure.

Qualificações

• Has built and operated complex Linux infrastructure.
• Has owned production environments running Kubernetes and Docker.
• Uses Terraform, Ansible or similar Infrastructure-as-Code tools to automate environments.
• Understands AWS, GCP or Azure, but isn’t limited to cloud-only infrastructure.
• Can move between software infrastructure and the physical world of servers, networking and data-centre environments.
• Goes deeper into NVIDIA GPU infrastructure, CUDA / NCCL, GPU clusters, Slurm, InfiniBand / RoCE, HPC, ML training infrastructure, and robotics infrastructure.
• Experience collaborating with AI researchers and robotics teams is a plus.

Conhecimentos

Linux infra

Kubernetes

Docker

IaC (Terraform/Ansible)

Cloud (AWS/GCP/Azure)

Networking

GPU/AI infra basics

HPC/Slurm

Ferramentas

Terraform

Ansible

CUDA

Descrição da vaga

Build the Infrastructure Behind the Next Generation of AI & Robotics

DevOps / SRE / AI Infrastructure Engineers

Palo Alto / San Francisco Bay Area, California

Indicative Base Salary: US$150K–$230K potential equity/bonus

Your next infrastructure challenge shouldn’t just be another SaaS platform.

Imagine building the infrastructure that allows AI researchers, robotics engineers and hardware teams to turn intelligent software into machines that operate in the physical world.

Celotti Tech Talent

is an Australian technology recruitment firm specialising in AI, Data, DeepTech and Robotics, with a presence across Australia and Singapore. We’re building our network across the Palo Alto and San Francisco Bay Area and connecting exceptional infrastructure engineers with companies working at the frontier of AI, robotics and advanced technology.

We’re currently interested in speaking with engineers whose experience sits somewhere between:

DevOps SRE Platform Engineering Linux Physical Infrastructure AI/GPU Compute

This isn’t about ticking every box on a traditional job description.It’s about what you’ve built, what you’ve owned, and what you want to build next.

You might be someone who…

• Has built and operated complex Linux infrastructure.
• Has owned production environments running Kubernetes and Docker.
• Uses Terraform, Ansible or similar Infrastructure-as-Code tools to automate environments.
• Understands AWS, GCP or Azure, but isn’t limited to cloud-only infrastructure.
• Can comfortably move between software infrastructure and the physical world of servers, networking, compute and data-centre environments.
• And perhaps you’ve gone even deeper into:
• NVIDIA GPU infrastructure
• CUDA / NCCL
• GPU clusters
• Slurm
• InfiniBand / RoCE
• HPC
• ML training infrastructure
• Simulation environments
• Robotics / autonomous systems
• ROS / ROS 2
• Edge infrastructure
• High-performance storage

Why this could be different

• The opportunities we’re supporting aren’t conventional cloud-only DevOps positions.
• You’ll potentially work much closer to AI researchers, robotics engineers, hardware teams and physical systems, helping build the infrastructure behind compute-intensive engineering and intelligent machines.
• That might mean working on Kubernetes and Terraform one day and solving a Linux, networking, GPU or physical infrastructure problem the next.
• For the current search, genuine physical server/data-centre experience is particularly important, while GPU/HPC and robotics infrastructure are strong differentiators.

Final compensation will depend on the particular opportunity, seniority, technical depth and the end client’s approved compensation structure.

Who should connect with us?

You may currently be a:

DevOps Engineer | Site Reliability Engineer | Platform Engineer | Infrastructure Engineer | ML Infrastructure Engineer | AI Infrastructure Engineer | GPU Infrastructure Engineer | HPC Engineer | Compute Infrastructure Engineer

Whether you’re actively looking or simply curious about what’s being built across the AI and robotics ecosystem, we’d like to hear from you.

You don’t need to be ready to make a move today.

At Celotti Tech Talent, we’re interested in building long-term relationships with engineers across the AI, Data, DeepTech and Robotics ecosystem, so the first conversation is about understanding you, not pushing you toward a vacancy.