A Ukrainian IT company is seeking a skilled DevOps Engineer to design and operate scalable ML infrastructure. You will manage Kubernetes environments, build CI/CD pipelines, and collaborate closely with ML Engineers. The ideal candidate has over 4 years of experience in DevOps, a strong understanding of GCP, and expertise in Kubernetes. The role offers flexibility for remote work, performance bonuses, and health insurance among other benefits.
Qualifications
4+ years in DevOps or ML Infrastructure roles.
Hands-on experience with GCP and Kubernetes.
Strong experience with CI/CD pipelines.
Familiarity with ML lifecycle and workflows.
Responsibilities
Design and operate scalable ML infrastructure on GCP.
Manage Kubernetes environments for workloads.
Build and maintain CI/CD pipelines to automate ML services.
Implement infrastructure as code with Terraform.
Ensure observability of ML systems and pipelines.
Collaborate with engineers to support ML workloads.
Skills
DevOps practices
Cloud infrastructure
Kubernetes
CI/CD automation
Scripting (Bash/Python)
Monitoring and logging
ML infrastructure understanding
Tools
GCP
Docker
Terraform
Airflow
Job description
A Ukrainian IT company is seeking a skilled DevOps Engineer to design and operate scalable ML infrastructure. You will manage Kubernetes environments, build CI/CD pipelines, and collaborate closely with ML Engineers. The ideal candidate has over 4 years of experience in DevOps, a strong understanding of GCP, and expertise in Kubernetes. The role offers flexibility for remote work, performance bonuses, and health insurance among other benefits.