Cloud Architect - OpenShift SME

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - Independent
Contract - 6 Month(s)

Skills

DevOps
Platform Engineering
Cloud
OpenShift
Kubernetes
JupyterHub
Kubeflow
YAML
Helm
Azure
RedHat

Job Details

Key Responsibilities:

-OpenShift / Kubernetes Administration

Design and manage highly available OpenShift clusters (on-premises or cloud-managed)

Develop and maintain Kubernetes manifests (Deployments, StatefulSets, PVCs, NetworkPolicies, etc.)

Implement role-based access control (RBAC), service accounts, and admission policies

Monitor cluster health and performance using tools like Prometheus, Grafana, and ELK/Loki

-JupyterHub / Jupyter Notebook Expertise

Deploy, configure, and scale JupyterHub for multi-tenant use on Kubernetes/OpenShift

Integrate JupyterHub with enterprise authentication (OAuth, SAML, LDAP)

Manage persistent storage (PVCs) for notebook users with per-team or per-project isolation

Support libraries, kernels, and runtime environments for data science users

-Cloud & Platform Architecture

Design hybrid/cloud-native architectures using RedHatOpenShift, Azure

Architect storage strategies (e.g., CephFS, S3-compatible) for notebooks and datasets

Build CI/CD pipelines (Jenkins, GitHub Actions,AzureDevops) for deploying platform updates

Implement backup, DR, and compliance frameworks for data science workloads

-Security & Governance

Ensure platform-level security via OpenShift SCCs, secrets management, and encryption

Define and enforce data access boundaries and secure multi-tenancy practices

Audit and monitor activity with integration into SIEM or audit platforms

Required Skills and Experience:

5+ years in DevOps, Platform Engineering, or Cloud Architecture roles

5+ years hands-on with OpenShift or Kubernetes in production environments

Strong experience administering JupyterHub or Kubeflow Notebooks

Proficient with YAML, Helm, and Operator-based deployments

Experience with cloud platforms ( Azure, or RedHat OpenShift)

Familiarity with storage integration (NFS, Ceph, S3) and dynamic volume provisioning

Solid understanding of RBAC, IAM, and secure networking (TLS, ingress/egress rules)

Preferred Qualifications:

Knowledge to have with Data Science workflows and user personas

Knowledge of Apache Airflow, Iceberg, or Spark on Kubernetes

Familiarity with Open Data Hub, Kubeflow, or Red Hat AI/ML tooling

Certifications: CKA, Red Hat Certified Specialist in OpenShift Administration, or equivalent

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