AI Infrastructure & DevOps Engineer

Tip: Full time
Nivel: Middle
Experiență: Intre 2 - 5 ani

Departament: IT
Locație: București

Collaborate with internal AI team and external providers to provide all prerequisites necessary for deployment of AI applications.

Operate the Azure-based platform that takes the data-science team’s models from notebooks to 24/7 production, keeping data secure, costs in check and all policies compliant.

What you should do:

Virtualization everywhere – provision and manage internal VMs and Azure VMs for data pipelines and dashboards.
Azure compute mesh – setup and configure Azure VMs & AKS clusters, hook them to on-prem via VPN so data-science jobs can burst between environments.
Azure Active Directory administration – Security and Compliance, Identity and Access Management: Ensure secure access to resources using Azure AD.
CI/CD foundation – build GitLab pipelines that containerize, test and deploy the team’s code.
Pair with team of data scientists to turn Jupyter notebooks into 24/7 APIs.
Collaborate with the Data Engineering lead on streaming feature pipelines.
Collaborate with external providers to integrate new solutions with existing business systems.

What we want you to know:

4 + yrs Sysadmin/DevOps on Linux and Windows.
Networking and Security: TCP/IP, DNS, DHCP, and VPN configuration. Implementing security best practices, firewalls, and access controls.
Hands-on with GPU servers (drivers, firmware, Docker-NVIDIA).
Experience creating & managing VMs on both on-prem virtualization and Azure.
Strong Azure networking, AKS or Arc-enabled K8s, Azure AD.
CI/CD (GitLab/Azure DevOps) and IaC (Terraform/Bicep).
Azure Synapse / BigQuery / Snowflake (nice-to-have).
SQL for quick data audits (nice-to-have).
Familiarity with Airflow or Cloud Composer (nice-to-have).

Sure you are interested!

How we work: Hybrid

What we offer: Medical allowance, holiday vouchers, various employee discounts, office fruit, office massage, employee assistance program.