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[Remote] DevOps Engineer

Remote, USA Full-time Posted 2026-06-16

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)

Company Overview

  • Agilyti provides AI strategy, talent placement, and engineering services including data, cloud, automation, and application development. It was founded in 2023, and is headquartered in East Boston, Massachusetts, USA, with a workforce of 11-50 employees. Its website is https://www.agilyti.ai.

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