Senior Manager IT Storage Engineering

• Own and evolve the storage platform roadmap, balancing EDA performance requirements with enterprise resilience, compliance, and cost goals
• Define and govern reference architectures across file, block, object storage, and data protection (on-prem and cloud)
• Lead storage design reviews for EDA workflows, including metadata-intensive and high IOPS/low latency workloads (build/test/simulation/regression flows)
• Establish standard patterns for tiering, archiving, retention, immutability (WORM), and disaster recovery (RPO/RTO, replication, failover)
• Design solutions supporting AI workloads (including >5TB/s training throughput)
• Ensure storage segmentation and isolation aligned with performance and security requirements
• Align all architectures with security, encryption, RBAC, audit logging, and data governance standards
• Own end-to-end storage and backup service delivery (availability, performance, capacity, recoverability, user experience)
• Lead major incident management, root cause analysis, and corrective/preventive actions
• Define and track SLAs/SLOs (latency, throughput, backup success, restore times, replication health)
• Develop and maintain runbooks, playbooks, and operational procedures with continuous improvement loops
• Drive storage observability, monitoring, and performance optimization
• Lead automation initiatives using AI tools, Infrastructure-as-Code, and scripting (Ansible, Terraform, Python, PowerShell)
• Enable automation across provisioning, quotas, snapshots, replication, and policy enforcement
• Promote self-service models, standardized templates, and governance guardrails
• Integrate storage platforms with enterprise tooling (ServiceNow, CMDB, observability platforms)
• Foster an engineering culture focused on reliability, automation, documentation, and partnership
• Own capacity planning, forecasting, and cost optimization (including cloud FinOps alignment)
• Manage vendor relationships, contracts, renewals, RFPs, and technology evaluations
• Drive total cost of ownership (TCO) optimization across solutions
• Oversee lifecycle management including upgrades, refreshes, and decommissioning
• Manage and mentor engineering teams (onshore/offshore), including hiring, performance management, and succession planning
• Act as Subject Matter Expert (SME) for storage across Engineering, IT, InfoSec, Compliance, and Data teams
• Partner with application owners to optimize performance, data placement, and protection strategies
• Communicate technical strategy, risks, and outcomes effectively to executive leadership

• Leadership and people management skills
• Ability to mentor and grow high-performing teams
• Communication skills, ability to translate complex technical concepts into business outcomes
• Collaborative mindset with strong stakeholder management across Engineering, IT, Security, and Compliance
• Strategic thinking with a balance of innovation and pragmatic execution
• Problem-solving orientation with a focus on continuous improvement and operational excellence
• Customer-focused approach with an emphasis on user experience and service reliability
• Experience in enterprise storage and data protection (file, block, object)
• Engineering team management experience
• Proven expertise in high-performance storage solutions for EDA, HPC, AI/ML workloads
• Deep knowledge of NAS/SAN architectures, high-availability design, and storage networking (FC, iSCSI, NFS, SMB, S3)
• Strong experience with backup and disaster recovery (snapshots, replication, immutability, air-gap strategies)
• Hands-on experience with enterprise storage platforms (e.g., NetApp ONTAP, Dell PowerScale/Isilon, HPE, IBM, VAST, WEKA, etc.)
• Experience with open, software-defined, and vendor-neutral storage ecosystems
• Familiarity with data protection platforms (Rubrik, Commvault, etc.)
• Experience with public cloud storage (Azure, AWS, GCP, OCI), including lifecycle policies and replication
• Strong understanding of observability, performance tuning, and troubleshooting (IOPS, latency, throughput, congestion, multipathing)
• Experience supporting EDA tools (Cadence, Synopsys, Siemens EDA) or similar IO-intensive systems
• Familiarity with Linux environments, NFS tuning, and identity integration (AD/LDAP)
• Exposure to security and compliance frameworks (SOX, ISO, NIST, data retention, legal hold)
• Experience in change, incident, and problem management processes
• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)

Master’s degree is an asset

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