Position Details
About this role
This role involves architecting and evolving AI infrastructure to support secure, scalable AI-driven identity security solutions, working across cloud environments and implementing MLOps practices.
Key Responsibilities
- Lead AI infrastructure initiatives
- Collaborate with engineering and security teams
- Architect scalable AI infrastructure
- Lead infrastructure decisions across cloud providers
- Implement MLOps practices
Technical Overview
Focuses on building enterprise-grade AI infrastructure using cloud platforms (AWS, GCP), Kubernetes, Terraform, and MLOps methodologies.
Ideal Candidate
The ideal candidate is a senior infrastructure engineer with over 10 years of experience, specializing in building scalable AI/ML systems on cloud platforms like AWS and GCP. Hands-on expertise in Kubernetes, Terraform, and MLOps practices is essential.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 10 years in infrastructure or software engineering, Lack of experience with cloud platforms (AWS, GCP), No hands-on experience with Kubernetes or Terraform
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