- As a DevOps Cloud Engineer you will help build automate deploy monitor and operate the cloud infrastructure for our AI and data platform
- You will work with senior platform architects AI ML engineers data engineers and product teams to support reliable deployments across cloud hybrid and enterprise customer environments
- This is a hands on engineering role for someone who is comfortable working with cloud platforms containers CI CD pipelines infrastructure as code observability and secure deployment practices
- The role is ideal for an engineer who wants to build production grade platform capabilities for an enterprise AI product
Key Responsibilities:
- Build and maintain cloud infrastructure components across AWS Azure GCP or equivalent cloud platforms under the guidance of senior platform architects
- Implement infrastructure as code using Terraform OpenTofu cloud native templates or equivalent frameworks
- Build and maintain CI CD pipelines for application services AI agents data pipelines infrastructure changes and environment promotions
- Support GitOps based deployment workflows using tools such as Argo CD Flux GitHub Actions GitLab CI CD Azure DevOps or equivalent platforms
- Containerize application services Python based AI agents data services and supporting platform components using Docker
- Deploy and manage workloads on Kubernetes platforms such as EKS AKS GKE enterprise Kubernetes distributions or customer managed clusters
- Create update and troubleshoot Helm charts values files setting specific configurations secrets injection and rollback procedures
Technical Requirements:
- Hands on experience with at least one major cloud platform AWS Azure or GCP
- Practical experience with Terraform OpenTofu or equivalent infrastructure as code frameworks
- Experience with CI CD tools such as GitHub Actions GitLab CI CD Azure DevOps Jenkins or equivalent platforms
- Working knowledge of Docker Kubernetes Helm and containerized workload deployment
- Familiarity with Kubernetes concepts such as deployments services ingress config maps secrets namespaces RBAC and resource management