about 2 hours ago
Remote, WorldwideMid Level / Senior
Responsibilities
- Onboard requestor and client projects onto the Azure AI platform using approved runbooks and golden paths.
- Work closely with teams throughout onboarding, go-live, and early operations.
- Apply and adapt Terraform modules and CI/CD pipelines to project workloads.
- Support machine learning workload deployment and lifecycle management on Azure.
- Capture gaps, delivery friction, and feature requests.
- Provide continuous, structured feedback to Platform Engineering.
- Improve runbooks, documentation, and reusable onboarding patterns.
- Uphold security, governance, and compliance guardrails during every onboarding.
Requirements
- 5–8 years of experience in cloud engineering, platform engineering, DevOps, solution engineering, or technical consulting.
- Strong hands-on experience with Microsoft Azure and the Azure Well-Architected Framework.
- Experience with core Azure AI, machine learning, and platform services.
- Strong experience with Terraform and Infrastructure as Code.
- Experience with CI/CD pipelines using GitHub Actions, Azure DevOps, GitLab CI, or similar.
- Understanding of machine learning model deployment and lifecycle concepts.
- Strong client-facing, consulting, and stakeholder communication skills.
- Intermediate or higher English.
Benefits
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and ownership
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams