
AI Infrastructure & DevOps Engineer
- Tip: Full time
- Nivel: Middle
- Experiență: Intre 2 - 5 ani
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.
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