DevOps engineer for AI platforms

Expleo is a trusted partner for your innovation journey. As a global engineering, technology and consulting service provider, we are ideally positioned to help you achieve your ambitions and future-proof your business. With a smart blend of bold thinking and reliable execution, we’re able to fast-track innovation through each step of your value chain.

• Build and operate cloud-native infrastructure for AI solutions, data pipelines, APIs, agents, and platform services, with Azure as the primary platform and AWS used where required by existing data or integration landscapes;
• Create reusable infrastructure, deployment, observability, and environment patterns that help AI teams move from prototype to production faster;
• Automate provisioning, configuration, CI/CD, monitoring, logging, secrets management, and cost controls for AI workloads;
• Support cloud architecture decisions for agentic workflows, model integrations, event-driven services, data platforms, and external APIs;
• Work with security and data protection teams to ensure cloud environments follow group standards for identity, access, encryption, logging, isolation, and operational resilience;
• Collaborate with country IT and local teams to onboard environments, connect systems, troubleshoot deployments, and scale successful AI use cases;
• Continuously improving platform reliability, developer experience, cloud cost transparency, and operational maturity.

• Experience with cloud-native development and deployment, ideally with strong Azure experience and practical exposure to AWS;
• Strong hands-on experience with infrastructure automation (IaC), CI/CD, containerized workloads, monitoring, logging, and operational support;
• Solid engineering skills in Python, SQL, and optionally TypeScript, with the ability to support APIs, data workflows, and platform integrations;
• Experience working in cross-functional, international teams and with local IT organizations;
• Understanding of enterprise data engineering concepts such as ETL, data pipelines, data storage, and integration patterns – ideally with hands-on experience;
• Comfortable using GenAI software engineering tools such as GitHub Copilot, Cursor, or OpenCode to accelerate delivery;
• Pragmatic, outcome-driven, and comfortable operating in an evolving AI environment;
• Fluent English.
• Будет плюсом: Experience with Snowflake, Azure AI Foundry, Microsoft Agent Framework, LangChain, MCP, or comparable AI platform tooling; Exposure to frontend development, developer portals, workflow builders, or internal platform user interfaces; Experience in heterogenous multi-country enterprise environments; Cloud certifications or hands-on experience with DevSecOps, platform engineering, or site reliability engineering practices

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