Staff Engineer Software Development, II
Netgear Inc - Chennai, India, Chennai, Tamil Nadu, India
Posted Apr 2, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified checked Jun 13, 2026
- Salary
- Not verified
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Staff Engineer Software Development, II Chennai, India, Chennai, Tamil Nadu, India 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 Key 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
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