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Runpod
Runpod

Datacenter Infrastructure Specialist

Remote - EMEA
₹692/mo
5+ years exp
Full-time
Posted 3d ago
0 views
Actively Hiring Urgent Opening Direct 1-Click Apply

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Job Description

Runpod is the AI Developer Cloud. More than million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on.

 We're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We're looking for people who care deeply, build with urgency, and want to matter at scale.

 Learn more in our CEO's funding announcement: https://www.runpod.io/blog/one-million-developers https://www.runpod.io/blog/one-million-developers.

We are looking for a Datacenter Infrastructure Specialist to be the operational linchpin of our global fleet. Reporting to the Manager of Infrastructure Capacity & Management, you will serve as the technical authority bridging our hardware partners and internal engineering teams.

As our Datacenter Infrastructure Specialist, you will own the technical lifecycle and operational health of Runpod’s rapidly expanding, high-density GPU fleet. You will be part of a team that acts as the technical anchor for our hardware partners—serving as their infrastructure advisor, technical translator, adopter, and incident commander. This role blends deep HPC systems engineering, advanced network troubleshooting, and process automation to ensure rock-solid uptime for the world's most demanding AI workloads.

This is a high-visibility, high-impact position where you will move beyond traditional ticket-closing. You will work directly with cutting-edge GPU cloud technologies, advanced RDMA fabrics, and modern observability stacks to solve complex hardware challenges at scale. If you want the autonomy to build automated infrastructure tooling and directly contribute to the resilience, scalability, and revenue velocity of Runpod’s global physical backbone, this is where you do it.

Responsibilities

  • Hardware Validation & Benchmarking: Assist in validating new hardware, ensuring partner deployments meet Runpod’s specifications for distributed AI/ML workloads.
  • Uptime & SLA Enforcement: Monitor fleet health to identify performance degradation. You will help audit downtime and provide the technical data needed to protect customer SLAs.
  • AI-Driven Operations: We operate with an AI-first mindset, powering our operations with the technology we host. You will work with LLMs and AI agents to help automate network triage and generate dynamic runbooks for our fleet.
  • Incident Support: Coordinate technical incident communications with clear updates, acting as a steady hand that translates outages into actionable resolutions.
  • Partner Technical Support: Support the growth of our infrastructure partners

Requirements

  • Professional Background:

3–5 years

of experience in infrastructure operations, systems reliability, or datacenter engineering.

  • Datacenter Networking: Strong proficiency in standard datacenter networking and performance troubleshooting. Exposure to

RDMA, InfiniBand, or RoCE

is highly preferred.

  • GPU & AI Stack: Hands-on experience with the

NVIDIA Software Stack

(driver installation, performance utilities) and an understanding of multi-node performance tuning.

  • Systems & Diagnostics: Solid Linux system administration skills and experience with containerization (Docker). You are comfortable performing system-level troubleshooting and performance tuning at the kernel and hardware interface layers.
  • Effective Communication: Clear written and verbal communication skills. You can explain hardware or networking issues to both technical partners and internal leadership.
  • Operational Flexibility: As our global fleet scales, this role may require participating in an

on-call rotation

in the future.

  • Strategic Problem-Solver: You are detail-oriented and proactive when it comes to identifying potential failures before they impact customers.

Preferred

  • Startup Experience: Experience working in a fast-paced environment where you have contributed to building operational workflows.
  • HPC Exposure: Experience managing or optimizing bare-metal High-Performance Computing environments at massive scale.
  • Observability Tools: Experience with

Grafana, Prometheus, or Datadog

to monitor system health.

  • Automation: Proficiency in

Python, Go (Golang), or Bash

to automate repetitive infrastructure tasks and interface with internal APIs.

  • What You’ll Receive:
  • The competitive base pay for this position ranges from €105,324.00 to €140,432.00. This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location.

  • Meaningful equity in a fast-growing AI infra company — everyone on the team receives stock options — your impact drives our growth, and you share in the upside.

  • Generous medical, dental & vision plans — we cover 100% for all employees and partial for dependents.

  • Flexible PTO — take the time you need to recharge.

  • Most roles are remote work first with inclusive, collaborative teams utilizing Slack as the main form of internal communication.

  • Join a passionate team on the cutting edge of AI infrastructure — where culture, learning, and ownership are at the heart of how we scale.

  • $1,200 Home Office & Equipment Stipend — We set you up for success from day with gear and support to create your ideal workspace.

Runpod is committed to maintaining a workplace free from discrimination and upholding the principles of equality and respect for all individuals. We believe that diversity in all its forms enhances our team. As an equal opportunity employer, Runpod is committed to creating an inclusive workforce at every level. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, protected veteran status, disability status, or any other characteristic protected by law. We welcome every qualified candidate eligible to work in the United States; however, we are currently unable to sponsor employment visas.

Key Requirements & Skills

  • Professional Background:

3–5 years

of experience in infrastructure operations, systems reliability, or datacenter engineering.

  • Datacenter Networking: Strong proficiency in standard datacenter networking and performance troubleshooting. Exposure to

RDMA, InfiniBand, or RoCE

is highly preferred.

  • GPU & AI Stack: Hands-on experience with the

NVIDIA Software Stack

(driver installation, performance utilities) and an understanding of multi-node performance tuning.

  • Systems & Diagnostics: Solid Linux system administration skills and experience with containerization (Docker). You are comfortable performing system-level troubleshooting and performance tuning at the kernel and hardware interface layers.
  • Effective Communication: Clear written and verbal communication skills. You can explain hardware or networking issues to both technical partners and internal leadership.
  • Operational Flexibility: As our global fleet scales, this role may require participating in an

on-call rotation

in the future.

  • Strategic Problem-Solver: You are detail-oriented and proactive when it comes to identifying potential failures before they impact customers.

Benefits & Perks

medical, dental & vision plans — we cover 100% for all employees and partial for dependents.

Frequently Asked Questions

How to apply for Datacenter Infrastructure Specialist at Runpod?

Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.

What is the salary for this role?

The salary for this role is $100 per annum.

What experience is required?

5+ years of experience is required.

Is this position still open?

Yes, currently active and accepting applications.

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Runpod

Runpod

About Runpod | AI Developer Cloud Kimi K3 is now available on Runpod Skip to main content Product Pods On-demand GPUs, deployed across 31 global regions. Serverless Run API-based AI workloads with serverless GPU endpoints. Clusters Run multi-node GPU clusters for distributed AI workloads. Hub Deploy open-source AI models and templates on Runpod. Deployments Models Manage your or our compute from one unified control plane Use Cases Inference Serve models in real-time with low-latency GPUs. Agents Deploy AI agents that run, react, and scale instantly. Fine-Tuning Train models faster with efficie

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Datacenter Infrastructure Specialist

Runpod · Remote - EMEA

Apply on Company Website