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Platform Engineer

Ubique Systems — Sweden · Posted ~9 hours ago

Mid Full-time

Skills

Kubernetes Docker Infrastructure as Code CI/CD Cloud platforms MLOps Terraform GitLab CI GitHub Actions AWS Azure GCP

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Summary ✨ AI‑Generated

A platform engineering role focused on cloud infrastructure, container orchestration, automation, and supporting AI and machine learning workloads.

Highlights

Work on advanced cloud platforms and AI/ML infrastructure with modern DevOps and automation technologies.

Description

Required Skills & Qualifications Experience: 4+ years in platform engineering, DevOps, or infrastructure engineering, with at least 1-2 years supporting AI/ML workloads.Containerization & Orchestration: Advanced knowledge of Kubernetes (AKS, EKS, or GKE) and Docker for managing containerized AI services.Infrastructure as Code (IaC): Deep expertise with tools like Terraform, OpenTofu, or Pulumi to automate environment setup.CI/CD & MLOps Tools: Hands-on experience with GitLab CI, GitHub Actions, ArgoCD, and specialized platforms like Kubeflow or MLflow.Cloud & GPU Provisioning: Experience managing cloud services (AWS, Azure, or GCP) with an emphasis on provisioning GPU instances and handling cluster autoscaling.Data & Storage Systems: Experience setting up or maintaining vector databases (e.g., Pinecone, Milvus, Qdrant) and distributed storage solutions.