Startekk Inc-posted 4 months ago
Plano, TX
51-100 employees

StarTekk’s adoption of Digital Transformation is to accelerate organizational growth, increase efficiencies and help Star Workforce achieve focused business goals. The Employee will help our organization to identify and bridge the gap that exists in the business by analyzing the data, scale and support digital transformation initiatives. We are looking for a seasoned Cloud Architect with expertise in Red Hat OpenShift, Kubernetes, and JupyterHub administration to design and deliver scalable, secure, and enterprise-grade platforms for interactive computing and machine learning workflows. This is a hybrid role requiring both architectural design and hands-on implementation skills. You will work closely with DevOps, data science, security, and infrastructure teams to support multi-tenant environments for data exploration and ML workloads.

  • Design and manage Open Shift clusters (on-prem/cloud-managed)
  • Maintain Kubernetes manifests: Deployments, StatefulSets, PVCs, NetworkPolicies, etc.
  • Implement RBAC, service accounts, and admission policies
  • Monitor using Prometheus, Grafana, ELK/Loki
  • Deploy and scale JupyterHub in Kubernetes/OpenShift
  • Integrate with enterprise auth (OAuth, SAML, LDAP)
  • Manage user environments and persistent storage (PVCs)
  • Support notebooks with libraries, runtimes, and kernel isolation
  • Design hybrid/cloud-native architectures using OpenShift and Azure
  • Architect storage (CephFS, S3-compatible, NFS)
  • Build CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps)
  • Implement backup, DR, and compliance strategies
  • Enforce OpenShift SCCs, secrets, encryption, and RBAC
  • Ensure secure multi-tenancy and user isolation
  • Integrate with enterprise SIEM/audit tools
  • 5+ years in DevOps, Platform Engineering, or Cloud Architecture
  • 5+ years with Open Shift/Kubernetes in production environments
  • Strong experience with JupyterHub or Kubeflow Notebooks
  • Proficient in YAML, Helm, Operator-based deployments
  • Hands-on with Azure and/or Red Hat Open Shift
  • Experience with storage (NFS, Ceph, S3), RBAC, TLS, networking
  • Familiarity with Data Science workflows and tools
  • Knowledge of Apache Airflow, Iceberg, Spark on Kubernetes
  • Experience with Open Data Hub, Kubeflow, or Red Hat AI tools
  • Certifications: CKA, Red Hat Open Shift Admin, or similar
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