DevOps Engineer
Summary
DevOps Engineer building and operating the cloud foundation for a Central AI team and AI Hubs: designing and automating Azure-first (with some AWS) cloud-native infrastructure, IaC, CI/CD, observability, and secrets management so AI use cases, agents, and data products run reliably and securely in production.
DevOps Engineer
Job Overview
As DevOps Engineer, you will build and operate the cloud foundation for the Central AI team and AI Hubs. Your mission is to ensure AI use cases, agents, data products, and platform components are reliable, scalable, secure, and production-ready. This hands-on role requires collaboration with various teams to design and automate cloud-native infrastructure, with a strong focus on Azure, while also supporting selected AWS-based workloads.
Main Responsibilities:
Build and operate cloud-native infrastructure for AI solutions, data pipelines, APIs, agents, and platform services.
Create reusable infrastructure, deployment, observability, and environment patterns.
Automate provisioning, configuration, CI/CD, monitoring, logging, secrets management, and cost controls for AI workloads.
Support cloud architecture decisions for agentic workflows and model integrations.
Collaborate with security and data protection teams to ensure compliance with standards.
Work with local teams to onboard environments and troubleshoot deployments.
Continuously improve platform reliability and operational maturity.
Key Requirements:
Experience with cloud-native development and deployment, particularly in Azure.
Strong hands-on experience with infrastructure automation (IaC) and CI/CD.
Solid engineering skills in Python, SQL, and optionally TypeScript.
Experience in cross-functional, international teams.
Understanding of enterprise data engineering concepts with hands-on experience.
Proficiency using GenAI software engineering tools.
Fluent in English.
Nice to Have:
Experience with Snowflake, Azure AI Foundry, or similar AI platform tooling.
Exposure to frontend development or developer portals.
Experience in heterogeneous multi-country enterprise environments.
Cloud certifications or experience with DevSecOps practices.
Other Details
This role offers the opportunity to work in a dynamic environment supporting AI integration across multiple regions.