Senior Backend Engineer: Build Scalable ML Inference

LE130 Unity Technologies SF; Mountain View (CA); On-site; USD 166,000 - 273,000; Full time

Benefits offered by this job

Comprehensive health, life, and spine/

Disability insurance

Employee stock ownership

Generous vacation and personal days

Mental Health and Wellbeing programs

Office snacks

Volunteer and donation matching

Job summary

Unity Technologies SF is seeking a Senior Backend Engineer to design and operate the infrastructure behind billions of daily inferences, optimizing performance, reliability, and scalability. You will build distributed backend services and collaborate with ML engineers to ensure scalable online serving while maintaining low latency.

Responsibilities include deploying production-grade systems, shaping the inference platform, and leveraging Prometheus/Grafana for observability in a large-scale,

Qualifications

• Distributed systems experience designing, deploying, and maintaining scalable services.
• Proficient in Golang for high-performance backends.
• Strong cloud experience with GCP and Kubernetes.
• Solid knowledge of monitoring/observability with Prometheus and Grafana.
• Background in ad tech, real-time personalization, or performance-critical domains.
• Familiarity with microservices, containers (Docker), and CI/CD.

Responsibilities

• Design, develop, and deploy production-grade backend services and distributed systems powering large-scale model inference.
• Drive technical direction of the inference platform focusing on low-latency, high-throughput serving.
• Collaborate with ML engineers to scale online serving with growing model complexity and volumes.
• Ensure reliability and efficiency using monitoring/observability tools in production.

Skills

Distributed systems design

Golang

GCP cloud

Observability tooling

CI/CD

Ad tech / real-time bidding

Tools

Kubernetes

Docker

Prometheus

Grafana

Triton Inference Server

Job description

Unity Technologies SF is seeking a Senior Backend Engineer to design and operate the infrastructure behind billions of daily inferences, optimizing performance, reliability, and scalability. You will build distributed backend services and collaborate with ML engineers to ensure scalable online serving while maintaining low latency.

Responsibilities include deploying production-grade systems, shaping the inference platform, and leveraging Prometheus/Grafana for observability in a large-scale,