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HiringAgents.ai · 1 day ago

Junior Backend Software Engineer

San Francisco, CA

Full-time

Onsite

New Grad, Entry Level

0+ years exp

Voxel is a fast-growing AI company revolutionizing workplace safety and operations with a full-stack AI and computer vision platform. They are seeking a Junior Backend Software Engineer to join their Platform team, where the role involves developing backend and distributed systems to enhance workplace safety through real-time perception and analytics.

Artificial Intelligence (AI)Recruiting

Responsibilities

Contribute to the development and scaling of Voxel’s perception and computer vision systems, powering real-time understanding of industrial environments

Design and deploy distributed systems for video ingestion, processing, and inference across both edge devices and cloud infrastructure

Build and secure cloud APIs, access control systems, and backend services that support the video platform and data pipelines

Develop scalable and resilient services that enable low-latency event detection, real-time alerts, and historical video analytics

Collaborate with cross-functional teams—including ML engineers, product managers, and researchers—to bring computer vision models into production

Influence the team’s technical direction and uphold high standards in code quality, system design, and operational excellence

Qualification

Backend systems developmentREST APIsDistributed systemsKubernetesCloud platformsMicroservices architectureFlinkKafkaKinesisTerraformMachine learning pipelinesComputer visionVideo analytics

Required

Must be based in, or able to commute regularly to, the San Francisco Bay Area, California, USA for an on-site role

0–2 years of experience developing backend systems using REST APIs, containerized services, and microservices architecture

Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical software engineering experience

Exposure to building and scaling distributed systems, with hands-on experience using at least one of Flink, Kafka, or Kinesis for real-time data processing

Practical experience using Kubernetes to deploy, monitor, and manage containerized workloads

Working knowledge of at least one major cloud platform such as AWS, Azure, or Google Cloud Platform (GCP)