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Sr Director of Software Engineering- Corporate Storage at JPMorgan Chase, Plano, TX

Sr Director of Software Engineering- Corporate Storage at JPMorgan Chase in Plano, TX. Est. $300k or more. Apply with swipeandhired.

Your opportunity to make a real impact and shape the future of financial services is waiting for you. Let’s push the boundaries of what's possible together.

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