DevOps / MLOps Engineer

We are looking for a DevOps / MLOps Engineer with 3+ years of experience to support and scale cloud and containerized infrastructure in long-term projects. You will work with modern DevOps practices, Kubernetes environments, and (optionally) ML infrastructure.

Responsibilities:

• Design and maintain cloud/on-prem infrastructure (AWS / Azure);
• Support virtualization environments (vSphere / Hyper-V) and containerized workloads;
• Deploy and manage Kubernetes clusters;
• Build and maintain CI/CD pipelines;
• Automate infrastructure using Terraform, Ansible, Bash/Python;
• Ensure security, monitoring, scalability, and high availability.

MLOps (nice to have):

• Build and maintain ML pipelines;
• CI/CD for ML models;
• Experience with MLflow, Kubeflow, or similar tools;
• GPU workloads, autoscaling, model monitoring.

Requirements:

• 3+ years of DevOps / Platform Engineering experience;
• Strong AWS and/or Azure knowledge;
• Hands-on Kubernetes (EKS or self-managed);
• Solid Linux and networking skills;
• Infrastructure as Code (Terraform preferred);
• Upper-Intermediate English or higher.

We offer:

• Competitive compensation;
• Fully remote work;
• Support for certifications and professional growth;
• Collaborative and growth-oriented team.