Must have

• Cloud engineering

• Azure

• Office 365

• GCP

• PowerShell

• Python

• Bash

• Linux scripting

• Microservices architecture

• Docker

• Kubernetes

• AKS

• Azure Data Engineering

• ADF

• ADB

• RESTful API

• network architecture

• Security best practices

• Technical documentation

• Git

• TFS

• SVN

• Terraform

• Ansible

• ARM Templates

• Azure DevOps Pipelines

• English

Requirements description

• 5–12 years of professional experience in cloud engineering, especially within Azure, and with exposure to O365 or GCP
• Strong scripting skills: PowerShell and/or Python (mandatory); Bash or Linux scripting (preferred)
• Proven experience with microservices architectures, including containerization using Docker and orchestration with Kubernetes (AKS)
• Solid knowledge in Azure Data Engineering tools (ADF, ADB)
• Hands-on expertise with RESTful API development and integration
• Excellent understanding of network architecture and security best practices
• Capable of creating technical documentation for cross-functional use
• Awareness of production support environments and user-facing incident resolution
• Experience in source control systems (Git, TFS, SVN)
• Proven skills in DevOps tooling and Infrastructure-as-Code: Terraform, Ansible, ARM Templates, and Azure DevOps Pipelines
• Familiarity with Azure GenAI products is a strong advantage

Soft Skills:

• Strong problem-solving mindset and operational awareness
• Clear and effective communication across technical and non-technical teams
• Ability to work independently while mentoring junior team members when needed
• Comfortable working in agile, fast-paced environments

Offer description

We are looking for an experienced Cloud Infrastructure and DevOps Engineer to join our team and take ownership of engineering scalable, resilient, and secure solutions in cloud environments, with a focus on Microsoft Azure. This is a highly technical role requiring deep expertise in cloud infrastructure, automation, DevOps, and microservices architecture.

Your responsibilities

1. Design and implement cloud-native infrastructure using Azure IaaS, PaaS, and SaaS offerings; experience with O365, Azure AD, GCP is a plus
2. Develop automation scripts and infrastructure tooling using PowerShell and Python; knowledge of Linux shell scripting is advantageous
3. Work with Kubernetes (AKS) and Docker, building and managing Helm charts for microservices-based deployments
4. Develop and maintain robust data engineering workflows using Azure Data Factory (ADF) and Azure Databricks (ADB)
5. Integrate and work with RESTful APIs to support loosely coupled, scalable system architectures
6. Design and manage network components such as load balancers, firewalls, DNS, and routing to ensure system reliability and high availability

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