DevOps / Cloud Engineer - DaAI

Job description

## **Job Description:** - 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 environment 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 ## **Preferred Skills:** Technology->Cloud Platform->Microservices,Technology->Container Platform->Kubernetes