Note: The job is a remote job and is open to candidates in USA. Agilyti is a Data and AI Consulting firm seeking an experienced DevOps / Kubernetes Engineer to deploy and configure AtScale's semantic layer platform in a client environment. The role involves standing up the infrastructure, deploying AtScale via Helm on a managed Kubernetes cluster, configuring storage and networking, and ensuring the platform is stable and production-ready.

Responsibilities

• Provision and configure a Kubernetes cluster to AtScale production spec (3-node, 48 CPU cores, 192 GB RAM minimum)
• Deploy AtScale via Helm charts, referencing AtScale's K8S Blueprints repository
• Configure storage to meet 5,000 IOPS minimum for embedded PostgreSQL replication
• Set up networking, ingress, and security policies (RBAC, secrets management)
• Stand up monitoring and logging (Prometheus, Grafana, or equivalent)
• Coordinate with the client's cloud/security team on IAM permissions and network access
• Validate deployment health and document the environment for client handoff
• Support the Semantic Modeler during data-warehouse connectivity setup

Skills

• 3+ years hands-on Kubernetes administration (EKS, AKS, or GKE)
• Helm chart deployment and customization
• Docker and container troubleshooting
• Strong on the client's cloud platform (AWS, Azure, or GCP)
• Infrastructure as Code — Terraform, Ansible, or CloudFormation
• Linux systems administration
• Storage configuration & performance tuning (IOPS, volume expansion)
• RBAC, secrets management, and network policy configuration
• Prior AtScale deployment experience
• Deploying data/analytics platforms on K8s (Databricks, dbt, Airflow)
• PostgreSQL administration
• CI/CD pipelines (GitLab CI, GitHub Actions, Argo CD)

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