DevOps engineer for AI platforms

Do you have experience in DevOps and Cloud Engineering and would you like to contribute to the infrastructure that supports advanced Artificial Intelligence solutions? We are looking for a DevOps Engineer to join an international project, focused on the automation, security, and scalability of cloud infrastructure for AI applications.

• Develop and manage cloud-native infrastructure in Azure and, when necessary, AWS.
• Automate the provisioning of environments and deployment processes.
• Implement and optimize CI/CD pipelines.
• Create Infrastructure as Code solutions and reusable deployment patterns.
• Implement monitoring, logging, secrets management, and cost control.
• Support the deployment of AI applications, APIs, agents, and data pipelines.
• Collaborate with AI Engineering, Data Engineering, and Security teams.
• Ensure the reliability, security, and performance of the platforms.

• Experience in Cloud Engineering and DevOps, preferably with Azure.
• Practical knowledge of AWS.
• Experience with Infrastructure as Code, CI/CD, and containerized workloads.
• Knowledge of monitoring, logging, and operational support.
• Development skills in Python and SQL.
• Knowledge of data pipelines, integrations, and cloud architectures.
• Familiarity with tools such as GitHub Copilot, Cursor, or OpenCode.
• Fluent English.
• Будет плюсом: Experience with Snowflake and Azure AI Foundry; Knowledge of LangChain, Microsoft Agent Framework, or MCP; Experience in Platform Engineering, DevSecOps, or SRE; Cloud certifications

• Условий в вакансии нет