Staff Engineer Software Development, II

Responsibilities

• Platform Architecture : Design scalable, multi-tenant architecture for managing thousands of network devices across customer environments
• Advanced Network Analytics : Lead development of AI/ML-powered network analytics, predictive maintenance, and automated troubleshooting capabilities
• Enterprise Integration : Architect integrations with major network vendors' management platforms and enterprise IT systems
• Performance Engineering : Optimize platform performance for handling massive telemetry data streams from network devices
• Security Architecture : Design zero-trust security models for secure device access and customer data protection
• API Strategy : Lead design of comprehensive APIs for network automation, third-party integrations, and customer workflows
• Edge Computing : Develop edge gateway solutions for on-premises network management in hybrid deployments
• Scalability Planning : Architect solutions supporting enterprise customers with 10,000+ managed devices
• Technical Leadership : Mentor engineering teams and establish best practices for network software development
• Customer Success : Work directly with enterprise customers on complex technical requirements and custom integrations
• Advanced Technical Requirements
• Network Expertise : Deep knowledge of enterprise networking, SDN/SD-WAN, network virtualization, and modern networking protocols
• Distributed Systems : Expert-level experience with microservices, event-driven architecture, and distributed data processing
• Real-time Processing : Advanced experience with stream processing (Kafka, Apache Storm) for handling network telemetry at scale
• Machine Learning : Experience applying ML to network analytics, anomaly detection, and predictive maintenance
• Network Security : Deep understanding of network security protocols, certificate management, and secure device provisioning
• Multi-vendor Integration : Extensive experience with network vendor APIs and management protocols across different manufacturers
• Performance Optimization : Expert knowledge of database optimization for time-series data and high-throughput network metrics
• Cloud Networking : Advanced knowledge of cloud networking services, VPC design, and hybrid cloud architectures

Requirements

• Bachelor's or Master's degree in Computer Science, Network Engineering, or Electrical Engineering
• 12-15 years of software development experience with 5+ years in network management systems
• Deep understanding of enterprise networking technologies and network operations centers (NOC)
• Experience with major network vendors (Cisco, Juniper, Aruba, Fortinet, etc.) and their management APIs
• Proven track record building SaaS platforms serving enterprise customers
• Experience with network certification programs (CCNA/CCNP knowledge preferred)
• Strong background in both software engineering and network infrastructure
• Company Statement/Values:
• At NETGEAR, we are on a mission to unleash the full potential of connectivity with intelligent solutions that delight and protect. We turn ideas into innovative networking products that connect people, power businesses, and advance the way we live.
• We strive to attract top talent and create a great workplace where people feel engaged, inspired, challenged, proud and respected. If you are creative, forward-thinking, passionate about technology and are looking for a rewarding career to make an impact, then you'

Benefits

Additional Information

Position Overview Come build NETGEAR Insight - our AI-powered, cloud-based network management platform serving millions of devices globally. We build software powered by real-time telemetry, automation, reliability, and cloud scale to enable network management and monitoring for small and medium enterprises (SMEs). Our teams work on backend platforms, device connectivity, telemetry pipelines, distributed systems, and large-scale cloud services that power networks worldwide. Real impact. Real ownership. We're looking for engineers who can pair strong fundamentals with effective use of AI as a multiplier for speed, quality, and impact. What we value Strong backend and distributed systems fundamentals Experience building cloud-native services at scale Ownership and end-to-end technical execution Ability to work across architecture, performance, reliability, and scale Comfort using modern AI tools thoughtfully and effectively Curiosity, adaptability, and a bias for solving real problems

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