Gcore
DevOps Engineer (AI Inference)
Remote work allowed only within certain countries or regions.
Employer listed it 5 weeks ago · Added yesterday
Been open since 5 weeks ago, still being checked, but it has been live a while.
Salary
Not stated
Location
Timezone
CET ±2
Contract
Full-time
Experience
Mid
Category
Software
This employer didn't state pay. Jobs like this usually pay around $145k–$245k a year, a typical range taken from 592 mid-level software roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Region Restricted
Remote work is allowed, but only for candidates based in Cyprus, Germany.
What the employer says
- Source listing states candidate location: "Cyprus, , Germany, Cyprus, de, Remote"
- Job description states: "Work from anywhere"
What Nomaders makes of it
- Timezone overlap with the listed area is often expected
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
This position is available only under an employment (labor) agreement.
The world’s digital experiences run on something invisible: the infrastructure and software that keep them fast, reliable, and secure. At Gcore,  you’ll help design and deliver that foundation for an AI-driven world. 
We’re a global provider of infrastructure and software solutions for  AI, cloud, network, and security,  powering everything from real-time communication and streaming to enterprise AI and secure web applications. With  210+ edge locations, 50+ cloud regions, and thousands of GPUs , your work here can reach users and businesses across the globe. 
You’ll collaborate with leading technology partners such as  Intel, NVIDIA, Dell, and Equinix , and work on platforms that power digital products used around the world. Our vision is simple: to connect the world to AI, anywhere, anytime. 
Want to work on technology that goes beyond a single product or industry?   Join a global team of  550+  professionals building infrastructure and software that supports the entire digital ecosystem. 
We are looking for  a talented DevOps Engineer  to join our AI Inference Operations Team.
As a DevOps Engineer, you will be responsible for designing, deploying, and maintaining infrastructure and services that enable scalable and secure AI inference workloads on-premises.
What You Will Do
Design, develop, and maintain infrastructure for AI inference workloads, including GPU scheduling, model deployment pipelines, and data access patterns in on-prem environments
Build and manage monitoring and observability tools for AI inference platforms, including dashboards, alerts, and runbooks for model health and system performance
Collaborate with ML engineers and platform teams to design system architecture for AI workloads, integrate inference runtimes, and test performance at scale
What We're Looking For
Strong understanding of Kubernetes architecture, including CNI, CSI, operators, ingress/gateway, and control plane components.
Hands-on experience operating and troubleshooting production Kubernetes clusters.
Strong Linux and networking troubleshooting skills, including DNS, routing, firewalling, TLS, MTU, connectivity and performance issues.
Ability to develop automation and operational tooling using Python, Go, or Bash.
Experience with Terraform, Ansible, or similar IaC/configuration management tools.
Experience with VictoriaMetrics/Grafana or similar monitoring, alerting, and troubleshooting tools.
Strong experience with Git-based workflows and CI/CD pipelines.
Preferred Qualifications
Familiarity with Cluster API or similar Kubernetes cluster lifecycle management technologies.
Hands-on operation or administration of Slurm clusters.
Knowledge of Argo CD, GitOps workflows, Helm, or Helmfile.
Background working with managed platforms, PaaS, or cloud services.
Requirements
- ·Familiarity with Cluster API or similar Kubernetes cluster lifecycle management technologies.
- ·Hands-on operation or administration of Slurm clusters.
- ·Knowledge of Argo CD, GitOps workflows, Helm, or Helmfile.
- ·Background working with managed platforms, PaaS, or cloud services.
- ·Exposure to bare metal, GPU, HPC, or other high-performance computing environments.
Benefits
- ·At Gcore, we want you to do your best work and enjoy the journey. Our benefits are designed to support your growth, well-being, and life beyond work: 
- ·Competitive compensation
- ·Flexible working hours and hybrid or remote options, depending on your role 
- ·Work from anywhere in the world for up to  45 days per year  
- ·Private medical insurance for you and your family* 
How to apply
- 1Check the flexibility label above, region restricted, matches where you plan to live and work.
- 2Tailor your CV to the role at Gcore, mentioning your remote working experience and working hours (CET ±2).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
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Free to apply, no account needed.
Typically $145k to $245k per year · You'll be taken to the employer's careers page.