Développeuse ou développeur côté serveur (backend) Staff — Systèmes d’inférence ML / Staff Backend Engineer, ML Inference Systems
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About This Role
Unity is seeking a Staff Backend Engineer to design, develop, and deploy production-grade backend services and distributed systems for large-scale online model inference. The role focuses on performance, reliability, and scalability of inference systems, with a goal of powering billions of daily decisions. The ideal candidate has experience with distributed systems, Golang, cloud infrastructure on GCP, and workload orchestration with Kubernetes.
Key ResponsibilitiesAI-extracted
- 1Design, develop, and deploy production-grade backend services and distributed systems powering large-scale online model inference
- 2Drive technical direction of the inference platform with a focus on low-latency, high-throughput serving infrastructure
- 3Partner with ML engineers to ensure online serving infrastructure scales with growing model complexity and inference volumes
- 4Ensure the reliability, scalability, and efficiency of systems in production using monitoring and observability tools
- 5Manage and optimize cloud infrastructure on GCP, orchestrating workloads with Kubernetes
RequirementsAI-extracted
- 5+ years of experience 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
- Strong grounding in monitoring and observability tooling, including Prometheus and Grafana
- Experience in ad tech, recommender systems, real-time personalization, or other performance-critical domains
Perks & BenefitsAI-extracted
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