
AI Infrastructure
2 weeks ago
We presently have an opportunity in the IT team for an AI Infrastructure & DevOps Engineer.
The purpose of the position is to provide all prerequisites necessary for deployment of AI applications.
Responsibilities:
- 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.
Skills:
- 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).
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