onsite
Defender for Cloud Engineer - Openkyber
Devops Engineer
Design and implement end‑to‑end Azure cloud solutions focused on AI/ML workloads, data pipelines, and platform infrastructure, driving adoption of Azure AI services and Snowflake for hybrid environments.
About the role
Key Responsibilities
- Architect, design, and deploy scalable Azure solutions that support AI/ML workloads, data engineering pipelines, and hybrid cloud infrastructure.
- Lead integration of Azure AI services—including Azure Machine Learning, Azure OpenAI Service, and Cognitive Services—into production environments.
- Implement and manage Snowflake data platforms within Azure, ensuring optimal performance and security.
- Define cloud governance, security, and cost‑optimization policies and enforce them across all deployments.
- Collaborate with cross‑functional teams to translate business requirements into technical designs and provide mentorship on cloud best practices.
Requirements
- Proven experience designing and delivering complex Azure architectures, especially for AI/ML and data engineering use cases.
- Hands‑on expertise with Azure Machine Learning, Azure OpenAI Service, Cognitive Services, and Snowflake.
- Strong understanding of cloud security, governance, and cost‑management principles.
- Ability to script and automate infrastructure using IaC tools (e.g., ARM templates, Terraform) and CI/CD pipelines.
- Excellent problem‑solving and communication skills, with a track record of leading technical initiatives in hybrid environments.