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DevOps Engineer (AI Inference)
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Offer summary

(Summary generated by AI based on the full job description)

The project focuses on scalable, secure AI inference workloads on-premises. Key technologies include Kubernetes (CNI, CSI, operators), Linux, Python, Go, Bash, Terraform, Ansible, VictoriaMetrics/Grafana, with additional use of Slurm, Argo CD, Helm. Responsibilities cover designing and maintaining infrastructure, system monitoring, and collaborating with ML teams on architecture and performance testing. The employer offers competitive compensation, private medical care, and flexible working conditions.

DevOps Engineer (AI Inference)

Company: G-CORE INNOVATIONS SOCIETE A RESPONSABILITE LIMITEE

from: 31 August 2026
to: 30 September 2026
salary not specifiedcontract of employment (full-time)
Salary details
basic salary
Offer parameters
level:senior
working mode:remote
location:Kraków, Lesser Poland
Kraków, Lesser Poland

Requirements

Expected technologies

Kubernetes
Python
Go
Bash
Terraform
Ansible
VictoriaMetrics
Grafana
Git

Optional technologies

Cluster
Argo CD
GitOps workflows
Helm
Helmfile
GitOps
OpenStack

Operating system

Linux

Our requirements

  • 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.

Optional

  • 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.
  • Familiarity with the NVIDIA GPU stack, RDMA/InfiniBand, or high-performance networking.
  • Knowledge of OpenStack or similar cloud infrastructure platforms.
  • Hands-on experience developing Kubernetes operators or controllers.

Your responsibilities

  • 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

About the project

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.

This is how we organize our work

This is how we work

in houseagilescrum

This is how we work on a project

  • code review
  • TDD
  • Continuous Deployment
  • Continuous Integration
  • DevOps
  • documentation
  • issue tracking tools
  • test automation
  • testing environments

Equal Opportunity Employer

We provide equal opportunity to all applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity, gender expression, national origin, disability, or any other legally protected characteristics.
Company

What we offer

  • 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*
  • Extra paid vacation and sick leave days*
  • Support for life’s important moments and celebrations
  • Language courses to help you connect and grow
  • Modern, welcoming offices with snacks, drinks, and entertainment*
  • Team sports and social activities*

Development opportunities we offer

  • space for experimenting

Benefits

  • private medical care
  • sharing the costs of foreign language classes
  • remote work opportunities
  • flexible working time
  • integration events
  • drinks
  • extra leave
  • snacks

G-CORE INNOVATIONS SOCIETE A RESPONSABILITE LIMITEE

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.
DevOps Engineer (AI Inference)
I apply to:
G-CORE INNOVATIONS SOCIETE A RESPONSABILITE LIMITEE
Kraków, Lesser Poland
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