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Tech Stack
Tools & technologiesApacheCloudKafkaMicroservices
About the role
Key responsibilities & impact- Drive the technical architecture and strategic development of NETGEAR's cloud-based NMS platform
- Design scalable, multi-tenant architecture for managing thousands of network devices across customer environments
- Lead development of AI/ML-powered network analytics, predictive maintenance, and automated troubleshooting capabilities
- Architect integrations with major network vendors' management platforms and enterprise IT systems
- Optimize platform performance for massive telemetry data streams from network devices
- Design zero-trust security models for secure device access and customer data protection
- Lead design of APIs for network automation, third-party integrations, and customer workflows
- Develop edge gateway solutions for on-premises network management in hybrid deployments
- Architect solutions supporting enterprise customers with 10,000+ managed devices
- Mentor engineering teams and establish best practices for network software development
- Work directly with enterprise customers on complex technical requirements and custom integrations
Requirements
What you’ll need- Bachelor's or Master's degree in Computer Science, Network Engineering, or Electrical Engineering
- 14+ years of software development experience
- 5+ years of experience in network management systems
- Deep understanding of enterprise networking technologies and network operations centers (NOC)
- Experience with major network vendors, including Cisco, Juniper, Aruba, and Fortinet, 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
- Deep knowledge of enterprise networking, SDN/SD-WAN, network virtualization, and modern networking protocols
- Expert-level experience with microservices, event-driven architecture, and distributed data processing
- Advanced experience with stream processing, including Kafka and Apache Storm
- Experience applying machine learning to network analytics, anomaly detection, and predictive maintenance
- Deep understanding of network security protocols, certificate management, and secure device provisioning
- Extensive experience with network vendor APIs and management protocols across different manufacturers
- Expert knowledge of database optimization for time-series data and high-throughput network metrics
- Advanced knowledge of cloud networking services, VPC design, and hybrid cloud architectures
Benefits
Comp & perks- Equal consideration for all qualified applicants
- Confidential handling of applicant information according to EEO guidelines