DevOps Engineer

IQAir AG; Berlin; Vor Ort; EUR 55.000 - 75.000; Vollzeit

Zusammenfassung

IQAir AG in Berlin seeks a skilled engineer to design and manage cloud-native architectures using Microsoft Azure. The role involves implementing Infrastructure as Code and collaborating with engineering teams.

Candidates must possess a Bachelor’s degree in Computer Science or a related field, proven Azure engineering experience, and strong scripting skills. The position emphasizes best practices in cloud adoption and infrastructure automation.

Qualifikationen

• Bachelor's degree in a related field required.
• Proven experience with Azure services is essential.
• Solid understanding of IaC using Terraform is a must.

Aufgaben

• Design and manage cloud-native architectures using Azure.
• Implement Infrastructure as Code for automated deployments.
• Collaborate with development teams to optimize infrastructure.

Kenntnisse

Proven experience in cloud platform engineering, focusing on Microsoft Azure

Strong expertise with Azure Data Services

Strong scripting skills (e.g., PowerShell, Azure CLI, Python, Bash)

Experience in containerisation and orchestration using Kubernetes

Solid understanding of Infrastructure as Code (IaC)

Experience with CI/CD pipelines and platform automation

Strong problem-solving skills

Familiarity with data security concepts

Ausbildung

Bachelor’s degree in Computer Science

Tools

Terraform

Azure DevOps

Docker

Kubernetes

Jobbeschreibung

Responsibilities

• Design, build, and manage cloud-native and microservices-based architectures using Microsoft Azure, including AKS, Serverless ASP, Function Apps, and API Management.
• Develop and implement Azure Landing Zones (LZ) based on Microsoft Enterprise Scale Architecture principles such as IAM, governance, cost management, monitoring, and policy-as-code. (on this side not sure how much our team has exp)
• Ensure networking and security best practices by working with Hub-Spoke architecture, Azure Front Door, Firewalls, and security tools like Defender and Sentinel.
• Implement Infrastructure as Code (IaC) and strong knowledge in tech. likes Terraform, ARM, Azure Bicep, PowerShell, and Azure DevOps for automated deployments.
• Design and manage NoSQL databases and cloud storage solutions.
• Work with observability tools to enhance monitoring, logging, and performance insights.
• Ensure high availability, disaster recovery, and security compliance in cloud solutions.
• Collaborate with development and Data Engineering teams to optimize infrastructure, scalability, and cost.
• Mentor and support engineering teams in best practices for cloud adoption and infrastructure automation.

Skills & Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
• Proven experience in cloud platform engineering, focusing on Microsoft Azure.
• Strong expertise with Azure Data Services: Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure SQL.
• Azure certification (AZ-104 or AZ-500) required. AZ-104 (Azure Administrator) or AZ-500 (Azure Security Engineer) certifications are essential for ensuring secure and efficient platform management.
• Solid understanding of Infrastructure as Code (IaC) using Terraform, Azure Resource Manager, or similar tools.
• Experience in containerisation and orchestration using Kubernetes, Azure Kubernetes Service (AKS), or Docker.
• Strong scripting skills (e.g., PowerShell, Azure CLI, Python, Bash).
• Experience with CI/CD pipelines and platform automation using tools like Azure DevOps, GitHub Actions, or Jenkins.
• Familiarity with data security concepts, access control models, and Azure security services (e.g., Azure Active Directory, Key Vault, Security Centre).
• Solid understanding of cloud cost management and resource optimisation.
• Experience with platform monitoring and logging using Azure Monitor, Log Analytics, or Application Insights.
• Strong problem-solving skills, with the ability to troubleshoot and resolve platform performance and availability issues.

Preferred Qualifications

• Experience with data engineering and knowledge of building ETL pipelines, data lakes, and data warehouses.
• Familiarity with serverless architectures and related Azure services like Azure Functions.
• Knowledge of Azure governance services (e.g., Azure Policy, Blueprints, Cost Management).
• Familiarity with agile methodologies and tools.
• Experience with other cloud platforms like AWS or Google Cloud.
• Familiarity with Big Data frameworks and services like Azure Databricks or Hadoop.