October 4, 2026

Cloud Engineer (Azure, GCP & Kubernetes)

Mid • On-site

Kraków, Pl-06, Poland

Quick Facts

  • Role: Cloud Engineer focused on Azure, GCP, Kubernetes, and AI/GenAI platforms

Description

Design and implement infrastructure in Azure, GCP, and on-prem environments to support AI and GenAI solutions. Co-build AI platform capabilities and integrate cloud services including Azure AI Foundry, Azure OpenAI, Vertex AI, and Gemini. Prepare GPU server environments for running AI models, automate deployments with Terraform/Ansible and CI/CD, and collaborate with teams building AI applications and agentic systems.

Responsibilities

  • Design and deploy cloud infrastructure across Azure, GCP, and on-prem

  • Participate in building AI/GenAI enabling platforms

  • Integrate services including Azure AI Foundry, Azure OpenAI, Vertex AI, and Gemini

  • Prepare GPU execution environments (drivers, libraries, runtime libraries)

  • Integrate cloud environments with on-prem infrastructure

  • Automate deployments using Terraform, Ansible, and CI/CD pipelines

  • Collaborate with developer teams building AI applications and agent systems

  • Monitor AI platform cost, performance, and security

  • Create standards and best practices for AI platform solutions in the organization

Requirements

  • Experience with Microsoft Azure and Google Cloud Platform

  • Practical Terraform experience

  • Ansible experience

  • Strong CI/CD knowledge and practical use (e.g., Jenkins, GitLab CI/CD)

  • Very good Linux knowledge

  • Ability to program and automate in Python

  • Knowledge of GenAI/LLM solution architecture

  • Experience with Azure AI Foundry

  • Experience with Vertex AI and Gemini

  • Knowledge of LangChain, LangGraph, CrewAI (or similar frameworks)

  • Experience building agentic systems

  • Experience integrating services via REST API and SDKs

  • Experience deploying with Kubernetes

  • Knowledge of cloud networking, IAM, security, and monitoring, including Kubernetes/AKS/GKE

  • Active use of AI tooling to improve work quality and efficiency (e.g., GitHub Copilot, Claude, Cursor, M365 Copilot)

Benefits

  • Employment contract and hybrid work model

  • Benefits package including cafeteria, private medical care with dental coverage, Multisport card, and insurance

  • Internal contests, discount and loyalty programs

  • 16 hours for volunteering and “Dzień na U”

  • Work aligned with shared company values: responsibility, openness, innovation, and customer orientation

  • Alior University development program

  • Monetary reward for successful referrals via the Referral Program

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