2 days ago
Base Salary
$228k - $339k/yr
Responsibilities
- Own Active IQ’s multi-year technical vision, target architecture, engineering standards, and technical direction.
- Architect and deliver agentic AI and machine learning systems at NetApp fleet scale, including data, evaluation, and safety foundations.
- Design and implement the platform’s most complex and highest-risk components through hands-on engineering, design reviews, and code reviews.
- Identify and resolve systemic technical problems spanning multiple teams and organizations.
- Evaluate emerging AI and cloud technologies, conduct proofs of concept, and make build, buy, or partner recommendations.
- Partner with SRE and operations to achieve availability, performance, security, automation, and observability objectives.
- Mentor senior and experienced engineers and elevate engineering practices without formal people-management responsibility.
- Collaborate with product management, development, design, operations, customers, partners, and industry forums on architecture and technical strategy.
Requirements
- 15+ years of experience in the high-tech industry, including technical leadership at the principal or equivalent level.
- Experience designing and developing agentic AI applications with technologies such as LangGraph, LangChain, Google ADK, Phoenix, Guardrails, and Mem0.
- Strong experience with streaming and event-driven technologies such as Kafka.
- Deep experience with relational, document, and vector databases, preferably including MongoDB.
- Extensive cloud architecture and containerization experience with technologies such as Kubernetes, Docker, AWS, Azure, or Google Cloud Platform.
- Experience with observability and application performance monitoring platforms such as Dynatrace and Splunk.
- Strong Python development experience and experience building enterprise software and generative AI systems.
- Experience building infrastructure for storage, compute, and databases, and operating scalable production cloud services.
- Deep expertise in distributed systems, computer architecture, data structures, large-scale data processing, and production AI or machine learning systems.
- Ability to make technical decisions in ambiguous environments, explain complex trade-offs, build consensus, and influence across organizations.
- Strong understanding of on-premises and cloud infrastructure, reliability, and security practices for customer-facing services.
- Excellent problem-solving, analytical, verbal, written communication, interpersonal, and collaboration skills.
- Bachelor’s degree in Computer Science or a related field is required; a master’s or Ph.D. in Computer Science or a related field is preferred.
Benefits
- Comprehensive benefits package that may include health insurance, life insurance, retirement or pension plans, paid time off, leave options, performance-based incentives, employee stock purchase plans, and restricted stock units.
- Benefits and offerings vary by country and region and are subject to local laws, regulations, and company policies.
Tech Stack
Categories
About NetApp
NetApp builds data storage and data management software and hardware for enterprises, including ONTAP-powered all-flash arrays and hybrid cloud services that integrate with AWS, Azure, and Google Cloud. It sells systems and subscriptions that support backup, disaster recovery, databases, and container/Kubernetes workloads. Founded in 1992 and headquartered in San Jose, California, NetApp is a public company listed on NASDAQ.