Forward Deployment Engineer — Azure AI
J
JobgetherCloud Engineering, AI
GermanyFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 5–8 years
- Required Skills
- PythonKubernetesMicrosoft AzureCI/CDTerraform
Requirements
- 5–8 years of experience in cloud engineering, platform engineering, DevOps, solution engineering, technical consulting, or a related field.
- Strong hands-on expertise with Microsoft Azure, including the Azure Well-Architected Framework and Azure AI services.
- Proven experience with Terraform, Infrastructure as Code, and CI/CD tools such as GitHub Actions, Azure DevOps, GitLab CI, or similar platforms.
- Good understanding of machine learning deployment processes and model lifecycle management.
- Excellent communication, stakeholder management, and client-facing consulting skills.
- Professional working proficiency in English.
Responsibilities
- Lead the onboarding of projects onto the Azure AI platform by following established deployment frameworks, runbooks, and best practices.
- Support requestor and client teams throughout onboarding, production launch, and the early operational lifecycle to ensure successful adoption.
- Configure and adapt Terraform modules, Infrastructure as Code, and CI/CD pipelines to meet project-specific requirements.
- Deploy and support machine learning workloads while assisting with lifecycle management across Azure environments.
- Identify deployment challenges, operational bottlenecks, and enhancement opportunities, providing structured feedback to Platform Engineering teams.
- Continuously improve onboarding documentation, reusable deployment patterns, and technical runbooks while ensuring compliance with security, governance, and operational standards.
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