Arlo builds connected security cameras and smart home devices backed by a cloud platform running Java microservices on AWS (EKS, Lambda, DynamoDB, Aurora). The tech stack reveals a company mid-modernization: actively upgrading Angular across repos and rearchitecting legacy Java services while scaling an MQTT-based IoT ecosystem. Engineering-heavy hiring (19 roles) paired with projects around zero-downtime releases and data-model optimization suggests infrastructure maturation rather than greenfield expansion.
Notable leadership hires: Strategic Accounts Director
Arlo Technologies designs and manufactures smart home security hardware (cameras, sensors) with a cloud-connected platform that handles device management, video processing, and user interactions. The product runs on wireless connectivity and cloud infrastructure, supported by AI features for detection and alerting. The company operates as a public manufacturer with engineering, data, and support teams distributed across the US, Ireland, India, Canada, and Taiwan. Revenue comes from hardware sales and subscription services for cloud features and storage.
Arlo runs on AWS, including EKS (Kubernetes), Lambda, DynamoDB, and Aurora. The backend is built on Java and Spring Boot, with a focus on modernizing legacy microservices.
Frontend: Angular, TypeScript, RxJS, NgRx. Backend: Java, Spring Boot. Infrastructure: AWS (EKS, Lambda), Kubernetes, Docker, DynamoDB, Aurora. DevOps: Buildkite, Harness, Datadog, Grafana. Testing: Jest, Playwright. Feature management: LaunchDarkly.
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Arlo Technologies, Inc.'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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