Cloud Architect - OpenShift SME

Cloud Architect - OpenShift SME

Location: Jersey City or Boston - local only

-Hybrid schedule and must work onsite 3 days/week; Preference is for candidate to go into the Jersey City, NJ office but also open to Boston, MA - not open to relocation

-interview will be 2-3 rounds virtually

*when submitting please include their LinkedIn profile (with picture and full name)

Job Summary:

We are seeking a highly skilled Cloud Architect with deep expertise in Red Hat OpenShift, Kubernetes, and JupyterHub administration. This role requires both architectural vision and hands-on experience to design, deploy, and manage scalable, secure, and multi-tenant Quant platforms in a hybrid or cloud-native environment.

You will be the subject matter expert (SME) for the Jupyter Notebook ecosystem integrated into OpenShift and will collaborate with DevOps, data science, security, and infrastructure teams to deliver robust solutions for interactive computing, ML workflows, and data exploration at enterprise scale.

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