Senior Backend Engineer: Real-Time AI & Edge Systems

United States Digital Space LLC; San Mateo (CA); On-site; USD 130,000 - 280,000; Full time

Benefits offered by this job

Healthcare coverage

Vision & dental

HSA & FSA

Mental health support

Parental leave

Paid holidays

Professional development

Fertility stipend

Wellness benefits

Healthy meals

Job summary

United States Digital Space LLC is seeking a Senior Backend Engineer to design and scale the backend for AI-driven physical security products. You will own architectures for low-latency systems, processing multimodal data across devices and cloud backends, coordinating with edge devices and centralized services.

You will build distributed pipelines, implement event-driven workflows, and enable automated threat detection with robust, production-grade infrastructure.

Qualifications

• 5+ years of backend engineering experience building and operating production systems at scale.
• Strong experience designing distributed systems, event-driven architectures, and scalable APIs.
• Proven track record of building large‑scale, data‑intensive or AI‑powered systems.
• Experience working with real‑time data pipelines and high‑throughput systems.
• Familiarity with deploying or integrating machine learning models, especially in video, audio, or multimodal domains.
• Strong programming skills (e.g., Go, Python) and experience with modern cloud infrastructure.
• Experience with databases and streaming systems (e.g., Kafka, Temporal, Postgres).
• Ability to quickly prototype, experiment, and iterate in ambiguous problem spaces.
• Strong ownership mindset with experience delivering reliable, production‑grade systems end‑to‑end.

Responsibilities

• Design and build distributed backend systems that power AI-driven detection, monitoring, and response workflows.
• Develop scalable pipelines for ingesting and processing large volumes of video, audio, and sensor data in real time.
• Architect event-driven systems that trigger automated actions such as alerts, verification, and escalation.
• Build infrastructure that enables integration and deployment of large video and audio models into production systems.
• Rapidly prototype and iterate on new AI-powered capabilities, moving from concept to deployed features.
• Optimize systems for low latency, high availability, and reliability across cloud and edge environments.
• Collaborate cross‑functionally to define and deliver end‑to‑end intelligent safety and automation systems.
• Establish best practices for observability, testing, and continuous deployment in AI-integrated backend services.

Skills

Backend engineering

Distributed systems

Event-driven architectures

APIs

Real-time data pipelines

Go

Python

Cloud infrastructure

Ownership & reliability

Tools

Kafka

Temporal

PostgreSQL

Job description

United States Digital Space LLC is seeking a Senior Backend Engineer to design and scale the backend for AI-driven physical security products. You will own architectures for low-latency systems, processing multimodal data across devices and cloud backends, coordinating with edge devices and centralized services.

You will build distributed pipelines, implement event-driven workflows, and enable automated threat detection with robust, production-grade infrastructure.