Sr Software Engineer, Platform

Vivint Smart Home, an NRG-owned smart home company, is redefining home automation and security through intelligent products and services at massive scale. The Senior Software Engineer, Platform will design, build, and operate high-scale cloud services, APIs, distributed systems, event-driven architectures, and IoT integrations that power real-time experiences for millions of devices and customers.

Responsibilities:

• Build and scale distributed systems that handle large volumes of real-time events
• Drive architecture and technical direction, not just implementation
• Improve performance, reliability, and operability of core platform services
• Collaborate across mobile, backend, embedded, and data teams to deliver end-to-end experiences
• Help establish engineering practices and technical culture for a growing Seattle team
• Design and implement high-scale cloud services and APIs used by mobile apps, cameras, and smart home devices
• Own systems end-to-end: design, deployment, observability, and production operations
• Contribute to and lead architecture discussions for new platform capabilities
• Build systems that are secure, resilient, and low-latency in a distributed environment
• Develop event-driven systems and integrations across IoT, backend services, and mobile platforms
• Mentor engineers and raise the overall engineering bar

Requirements:

• • 5+ years of experience building and operating production systems (we are open to Senior → Staff level)
• • B.S. in Computer Science or related field preferred
• • Strong experience in Go, Python, or similar backend languages
• • Experience designing distributed systems with scalability, availability, and performance in mind
• • Experience building REST and/or gRPC APIs
• • Strong problem-solving skills and a track record of ownership and execution
• • Experience working with modern cloud-native tooling (containers, orchestration, CI/CD)
• • Experience with event-driven architectures (Kafka, messaging systems)
• • Experience with IoT systems or device communication protocols (e.g., MQTT)
• • Familiarity with Kubernetes, Docker, and cloud infrastructure
• • Experience with NoSQL databases (e.g., MongoDB)
• • Experience with video streaming and technologies (e.g. MP4, HLS, ffmpeg)
• • Experience using AI-assisted development tools for engineering workflows