DevOps / Cloud Engineer - DaAI

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 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