- Bachelors or Master’s degree in Computer Science, Information Technology, Engineering, or a related field.
- 4–6+ years of experience in DevOps, MLOps, Platform Engineering, Cloud Engineering, or Infrastructure Engineering roles.
- Hands-on experience operationalizing ML or LLM systems in production environments.
- Strong programming skills in Python and/or Bash. Familiarity with TypeScript or Java is a plus.
- Experience building and managing CI/CD pipelines using GitHub Actions or Azure DevOps Pipelines.
- Proficiency in containerization and orchestration technologies such as Docker and Kubernetes (AKS preferred).
- Solid understanding of cloud networking concepts including VNET/VPC architecture, subnetting, routing, DNS, load balancing, firewalls, and private connectivity.
- Experience implementing secure networking patterns such as Private Endpoints, VPNs, ExpressRoute/Direct Connect, and zero-trust architecture.
- Experience working with cloud platforms (Azure preferred; AWS/GCP acceptable).