Sr Director of Software Engineering- Corporate Storage

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As a Senior Director of Software Engineering at JPMorganChase within Infrastructure Platforms Foundational Services, you will lead multiple technical areas responsible for the engineering and modernization of enterprise storage platforms that support critical applications and services across the firm. You will apply deep knowledge of software engineering, infrastructure, and storage technologies to drive highly automated, resilient, scalable, and secure storage services. You will collaborate across technical domains to advance software-defined infrastructure, intelligent automation, and AI-enabled engineering practices while helping the firm remain at the forefront of technology trends, engineering practices, and innovation.
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