Unity Technologies
Gaming
Développeuseoudéveloppeurcôtéserveur(backend)Staff—Systèmesd’inférenceML/StaffBackendEngineer,MLInferenceSystems
“Développeuse ou développeur côté serveur (backend) Staff — Systèmes d’inférence ML / Staff Backend Engineer, ML Inference Systems at Unity Technologies. Skills: Backend services, Distributed systems, ML inference, Golang, GCP, Kubernetes, Prometheus, Grafana. Design, develop, and deploy production-grade backend services and distributed systems. Power large-scale online model inference at billions of daily requests”
Industry & Context.
What They're Looking For.
Must Have
5+ years designing, deploying, and maintaining distributed systems at scale, Expertise in Golang for building high-performance, low-latency backend infrastructure, Hands-on experience with cloud infrastructure on GCP and workload orchestration with Kubernetes, Grounding in monitoring and observability tooling, including Prometheus and Grafana, Familiarity with microservice architectures, containerization (Docker), and CI/CD best practices, Familiarity with machine learning platforms, workflows, and serving infrastructure, Sufficient knowledge of English for professional verbal and written exchanges
Nice to Have
Experience in ad tech, recommender systems, real-time personalization, or other performance-critical domains, Experience with ML inference servers like NVIDIA Triton Inference Server, Familiarity with auction mechanics or bidding systems in an ad tech context
What You'll Do.
and deploy production-grade backend services and distributed systems
Power large-scale online model inference at billions of daily requests
Drive technical direction of our inference platform
high-throughput serving infrastructure
Ensure online serving infrastructure scales with growing model complexity and inference volumes
and efficiency of systems in production
Manage and optimize cloud infrastructure on GCP
Orchestrate workloads with Kubernetes
Promote and implement best practices for backend service development
How You'll Work.
Team & Collaboration
Collaborate with ML engineers to ensure online serving infrastructure scales with growing model complexity and inference volumes
Communication Scope
Professional verbal and written exchanges in English
Applying for this Développeuse ou développeur côté serveur (backend) Staff — Systèmes d’inférence ML / Staff Backend Engineer, ML Inference Systems role?
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