DevOps Engineer

DevOps / Kubernetes Engineer

Remote / FTE or Contract / Must be currently based in the US

Our client, a Data and AI Consulting firm, is seeking an experienced DevOps / Kubernetes Engineer to deploy and configure AtScale's semantic layer platform in a client environment. You will stand up the infrastructure, deploy AtScale via Helm on a managed Kubernetes cluster, configure storage and networking, and ensure the platform is stable and production-ready. This is a hands-on implementation role — not an advisory position.

ENVIRONMENT

Cloud: AWS / Azure / GCP

Managed K8s: EKS / AKS / GKE

Warehouse: Snowflake / BigQuery / Redshift / Databricks

KEY 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

REQUIRED EXPERIENCE

• 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

PREFERRED EXPERIENCE

• Prior AtScale deployment experience
• Deploying data/analytics platforms on K8s (Databricks, dbt, Airflow)
• PostgreSQL administration
• CI/CD pipelines (GitLab CI, GitHub Actions, Argo CD)