Resource Informatics Group
Cloud Architect
Resource Informatics Group - Boston, Massachusetts, us, 02298
Work at Resource Informatics Group
Overview
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Overview
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
Soft Skills: Strong communication and documentation skills Ability to lead cross-functional discussions and align teams on architectural decisions Problem-solving mindset with a focus on platform reliability and scalability
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
Soft Skills: Strong communication and documentation skills Ability to lead cross-functional discussions and align teams on architectural decisions Problem-solving mindset with a focus on platform reliability and scalability