Storage Engineer - Install & Configure, Sheffield (3 days Hybrid)
Role details
Job location
Tech stack
Job description
The bank is seeking a skilled Storage Engineer to support the implementation of OpenShift as part of a major infrastructure migration project. This role focuses on designing, installing, and configuring enterprise-grade storage solutions that underpin OpenShift clusters across multi-cloud, hybrid, or on-prem environments. The engineer will ensure storage performance, scalability, and compliance with the bank's security and operational standards., Storage Design & Implementation: o Design storage architecture to support OpenShift clusters and workloads. o Install and configure storage systems (SAN, NAS, or cloud-based storage). o Integrate storage with underlying infrastructure (VMs, networking, compute).
Performance & Optimization: o Ensure high availability, redundancy, and disaster recovery capabilities. o Optimize storage performance for containerized workloads. o Implement monitoring and alerting for storage health and capacity.
Compliance & Security: o Align storage configurations with the bank's security and regulatory requirements. o Implement encryption, access controls, and data protection measures.
Collaboration: o Work closely with Infrastructure Engineers, OpenShift Administrators, and Automation Engineers. o Support DevOps and application teams with storage provisioning and troubleshooting.
Documentation & Governance: o Maintain detailed documentation of storage configurations and processes. o Ensure adherence to the bank's IT governance and change management policies.
Requirements
Proven experience in enterprise storage systems (eg, NetApp, Dell EMC, IBM, or cloud storage solutions). Strong knowledge of storage protocols (iSCSI, NFS, Fibre Channel). Familiarity with OpenShift, Kubernetes, and containerized environments. Understanding of backup, replication, and disaster recovery strategies. Excellent troubleshooting and performance tuning skills. Certifications in storage technologies or cloud platforms (AWS, Azure) preferred.