DevOps Engineer

Join Axians, where innovation thrives on trust and autonomy, and where every challenge is an opportunity to create technology with impact.

DevOps Engineer

What We Are Looking For

We are looking for a DevOps Engineer to build, automate, and maintain the cloud infrastructure that supports AI solutions, data products, and digital platforms across diferent countries. You will work closely with AI, Data, Platform, and Security teams to ensure scalable, secure, and reliable solutions, primarily on Azure and, when required, AWS. This is a hands‑on role focused on cloud infrastructure, CI/CD, automation, monitoring, and operational excellence, helping teams accelerate the journey from development to production.

What You Will Do On a Daily Basis

• 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.

Your Main Qualifications

• 5 years of 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;