Senior Director of Software Engineering - Corporate Storage

Job responsibilities

• Leads the engineering strategy, modernization, and delivery of enterprise physical storage platforms supporting critical applications and services across the firm
• Drives the evolution of storage platforms toward software-defined, API-driven, and highly automated infrastructure that improves provisioning, scalability, reliability, and operational efficiency
• Leads engineering capabilities across block and file storage, storage networking, replication, capacity and performance management, data protection, resiliency, and recovery
• Establishes engineering standards for storage provisioning, configuration, lifecycle management, observability, performance, availability, and infrastructure automation
• Sets and scales multi-department strategy for AI-enabled engineering and automation, including opportunities to improve capacity forecasting, anomaly detection, incident triage, root-cause analysis, automated remediation, and engineering productivity using enterprise-authorized tools
• Applies software engineering practices and tools, including Infrastructure as Code, APIs, continuous integration and delivery, automated testing, and configuration management, to improve the delivery and operation of storage services
• Establishes appropriate guardrails for AI-enabled infrastructure engineering, including validation, security, resiliency, traceability, human oversight, and responsible handling of sensitive data
• Partners across infrastructure, cloud, application, cybersecurity, architecture, and technology risk teams to deliver highly available, secure, resilient, and cost-effective storage services
• Provides leadership and strategic direction to multiple engineering teams while developing a culture of technical excellence, accountability, innovation, and continuous improvement
• Acts as a primary interface with senior leaders, stakeholders, and executives, driving alignment and consensus across complex technology, business, risk, and investment priorities
• Champions the firm's culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 10+ years of applied experience; in addition, 5+ years of experience leading technologists to manage, anticipate, and solve complex technical challenges within a domain of expertise
• Experience developing and leading large or cross-functional engineering teams responsible for enterprise infrastructure, storage, distributed systems, or other large-scale technology platforms
• Strong knowledge of enterprise storage platforms and architectures, including block and file storage, storage networking, replication, high availability, capacity, performance, data protection, and recovery
• Experience engineering large-scale infrastructure with an emphasis on software-based automation, APIs, configuration management, Infrastructure as Code, observability, reliability, and lifecycle management
• Demonstrated experience influencing across highly matrixed, complex organizations and delivering technology outcomes at scale
• Experience leading the adoption of AI-enabled engineering and automation capabilities, including appropriate governance, human oversight, quality controls, security, and responsible AI practices
• Experience leading complex initiatives supporting system design, testing, operational stability, resiliency, and production readiness

Preferred qualifications, capabilities, and skills

• Experience engineering or leading large-scale enterprise storage environments and technologies
• Experience with storage technologies and protocols such as storage area networks, network-attached storage, Fibre Channel, NVMe, NFS, SMB, replication, snapshots, and data protection technologies
• Software engineering or infrastructure automation experience using technologies such as Python, Go, Java, REST APIs, Infrastructure as Code, continuous integration and delivery, configuration management, and automated testing
• Experience applying AI or machine learning capabilities to infrastructure operations, including predictive capacity management, anomaly detection, intelligent observability, incident management, or automated remediation

• Experience modernizing infrastructure environments through platform engineering, self-service capabilities, API-first service delivery, and policy-driven automation

Base Pay/Salary: Jersey City,NJ $232,750.00-$325,000.00