DevOps Azure Expert

Responsibilities:

• Design, implement, and maintain scalable, high-availability infrastructure for GenAI applications hosted primarily in Microsoft Azure (with exposure to AWS and GCP)
• Develop and manage CI/CD pipelines (including infrastructure-as-code) using tools like Azure DevOps to support automated provisioning, deployment, and monitoring
• Ensure robust performance, reliability, and security of cloud-based GenAI environments through proactive system monitoring, backup planning, and disaster recovery strategies
• Collaborate with cross-functional teams—including engineers, developers, and data scientists—for seamless integration and deployment of GenAI models and services
• Lead troubleshooting and resolution of infrastructure and deployment challenges, applying best DevOps practices and modern monitoring tools (e.g., DataDog, Azure Insights, Nagios)
• Promote a team-oriented, product-focused culture by contributing to design discussions, sharing knowledge, and encouraging continuous learning in cloud and GenAI technologies
• Ensure compliance with IT governance, cloud usage policies, and security protocols across all cloud services (PaaS, IaaS, SaaS)

Requirements:

• Minimum 5 years of hands-on experience with cloud platforms, particularly Microsoft Azure (preferred), with solid understanding of AWS and GCP
• Proficient in containerization and orchestration using tools such as Docker, Kubernetes, AKS, EKS, and similar services
• Skilled in infrastructure as code, ideally with Terraform, and familiar with tools like Ansible, Chef, or AWS CloudFormation
• Strong background in Linux system administration and scripting (e.g., Bash, Python, PowerShell)
• Solid experience working with PaaS components and Azure services such as Function Apps, Web Apps, API Management, Cognitive Search, and SQL Server
• Familiar with Git-based version control systems and continuous integration/delivery tools including Azure DevOps, GitHub Actions, Maven, and Docker registries
• Capable of implementing CI/CD best practices, with a focus on automation, shift-left testing strategies, and secure release management
• Competent in debugging infrastructure and application-level issues using logs and tools such as Azure Monitor, DataDog, and Elastic Stack
• Exposure to server virtualization, cloud networking, storage provisioning, and scalable architecture design
• Agile mindset with practical experience in Scrum environments and a strong preference for automation and reducing operational toil
• Demonstrates a developer-oriented perspective and understanding of performance optimization, zero-downtime deployments (blue-green, canary), and disaster recovery planning
• Comfortable working in large enterprise environments, collaborating across cross-functional teams, and adhering to compliance standards (e.g., SOX, SOC2)
• Excellent communication skills and a clear focus on business outcomes, system reliability, and innovation
• Knowledge of English at B2 level (minimum)

Nice to have:

• Background as a developer

Offer:

• Private medical care
• Co-financing for the sports card
• Training & learning opportunities
• Constant support of dedicated consultant
• Employee referral program