Staff Engineer - Engineering Platform

Arlo Technologies, Inc.

Milpitas, CA, US
Base: usd$155,000-225,000pyear; bonus/equity: incl...
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10+ years backend engineering experience
Java and spring boot expertise
Aws cloud-native system architecture
** Arlo Technologies is seeking a Staff Engineer for their Engineering Platform in Milpitas, CA, to lead the architecture and modernization of their Java-based cloud platform. The ideal candidate will have extensive experience in backend engineering, particularly with distributed systems, and will drive the evolution of mission-critical services in a large-scale IoT environment. **

Job Summary

  • This role leads the architecture and modernization of a mission-critical Java-based cloud platform handling millions of real-time device interactions.
  • The successful candidate will drive engineering excellence by optimizing systems for scalability, low latency, and reliability under heavy load.
  • Arlo offers a competitive compensation package including base pay between $155,000 and $225,000, along with bonus, equity, and full benefits.

Matching Summary

Match Score: 75

** Arlo Technologies is seeking a Staff Engineer for their Engineering Platform in Milpitas, CA, to lead the architecture and modernization of their Java-based cloud platform. The ideal candidate will have extensive experience in backend engineering, particularly with distributed systems, and will drive the evolution of mission-critical services in a large-scale IoT environment. **

Salary

Base: USD$155,000-225,000/year; Bonus/Equity: Included in total compensation package; Benefits: Full range of benefits provided

Skills & Requirements

Must-have

  • 10+ years backend engineering experience
  • Java and Spring Boot expertise
  • AWS cloud-native system architecture
  • Docker and Kubernetes containerization
  • High-throughput real-time systems

Nice-to-have

  • IoT or event-driven domain experience
  • AI-assisted development practices
  • Cross-team technical leadership capability
  • SQL and NoSQL data model optimization

Key Requirements

  • 10+ years of backend engineering experience
  • 7+ years preferred AWS production experience
  • Hands-on experience with Docker and Kubernetes
  • Advanced SQL and DynamoDB skills

Work Rights

Not specified

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