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
Requirements:
- 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)