Platform Architect - Senior Cloud, DevOps Engineer - DaAI

As a Cloud + DevOps Platform Architect, you will own the cloud infrastructure, deployment automation, CI/CD, observability, reliability, and security posture of the platform. The platform will be deployed across multiple clouds, including AWS, Azure, and GCP, and will integrate with modern data platforms such as Databricks and Snowflake. This role requires a strong engineering mindset with hands-on ownership of infrastructure-as-code, Kubernetes, containerization, GitOps, enterprise packaging, and secure deployment patterns. The role is not limited to managing internal infrastructure. The platform must be deployable into enterprise customer environments, including private VPCs, hybrid cloud, on-premise, restricted network, and air-gapped environments. Technical Requirements: • Deep hands-on experience with at least two of the following cloud platforms: AWS, Azure, GCP. • Strong hands-on experience with Terraform, OpenTofu, or equivalent infrastructure-as-code frameworks. • Strong experience with CI/CD pipelines, release automation, environment promotion, rollback strategies, and deployment governance. • Hands-on experience with Docker, Kubernetes, Helm, and container orchestration platforms such as EKS, AKS, GKE, or enterprise Kubernetes distributions. • Experience authoring or significantly customizing Helm charts, including values management, secrets handling, configuration templating, and upgrade lifecycle management. Responsibilities: • Design, build, and operate multi-cloud deployment architecture across AWS, Azure, and GCP. • Build and maintain infrastructure-as-code using Terraform, OpenTofu, or equivalent IaC frameworks for repeatable multi-cloud deployments. • Build CI/CD pipelines for application services, data pipelines, AI agents, model artifacts, infrastructure changes, and environment promotions. • Implement GitOps-based deployment patterns using tools such as Argo CD, Flux, GitHub Actions, GitLab CI/CD, Azure DevOps, or equivalent platforms. • Design and operate containerized workloads using Docker and Kubernetes, including EKS, AKS, GKE, and customer-managed Kubernetes clusters. • Support enterprise deployment models, including private VPC, hybrid cloud, on-premise, restricted-network, and air-gapped environments. Preferred Skills: Foundational->Development process generic->Platform Engineering process,Technology->Cloud Platform->AWS Container services,Technology->Cloud Platform->Terraform,Technology->Container Platform->Kubernetes