Senior Backend Engineer (Vector AI)
Unity
- Mountain View, United States
- Senior Level
- Posted
Skills
Required
- cloud infrastructure
- GCP
- monitoring
- Kubernetes
- ad tech
- observability tooling
- Prometheus
- Grafana
- workload orchestration
- recommender systems
- real-time personalization
- microservice architectures
- containerization
- Docker
- CI/CD best practices
Preferred
- machine learning platforms
- workflows
- ML
- inference servers
- NVIDIA
- Triton Inference Server
- orchestrating workloads
Join our team as a Senior Backend Engineer and help shape the future of gaming experiences. You will design and operate the distributed systems that power billions of daily decisions, focusing on performance, reliability, and scalability. Your responsibilities will include developing production-grade backend services, driving the technical direction of our inference platform, and managing cloud infrastructure on GCP. You will also promote best practices for backend service development, testing, deployment, and monitoring.
Design, develop, and deploy production-grade backend services and distributed systems powering large-scale online model inference at billions of daily requests.
Drive technical direction of our inference platform, with a focus on low-latency, high-throughput serving infrastructure.
About Unity
Expertise in Golang for building high-performance, low-latency backend infrastructure
Responsibilities
- Manage and optimize cloud infrastructure on GCP, orchestrating workloads with Kubernetes across a high-scale production environment.
Requirements
- Strong grounding in monitoring and observability tooling, including Prometheus and Grafana
- Experience designing, deploying, and maintaining distributed systems at scale
- Hands-on experience with cloud infrastructure on GCP and workload orchestration with Kubernetes
- Experience in ad tech, recommender systems, real-time personalization, or other performance-critical domains
- Familiarity with microservice architectures, containerization (Docker), and CI/CD best practices
- Familiarity with auction mechanics or bidding systems in an ad tech context
Preferred
- Familiarity with machine learning platforms, workflows, and serving infrastructure
- Experience with ML inference servers like NVIDIA Triton Inference Server
Pay
USD 165,600 - 273,400
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