U
Unity
Senior Backend Engineer
Skills
Google Cloud PlatformDockerGolangMicroservicesGrafanaMachine LearningPrometheusKubernetesWorkday
17 days ago
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Important information
Salary:
$165,600 – $273,400 / year
Location:
San Francisco, CA, USA
Work mode:
Onsite
Published on:
15 October 2026
What they need
Who you are
- 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
- Familiarity with microservice architectures, containerization (Docker), and CI/CD best practices
- Familiarity with machine learning platforms, workflows, and serving infrastructure
- Experience with ML inference servers like NVIDIA Triton Inference Server
- Familiarity with auction mechanics or bidding systems in an ad tech context
What the job involves
- We're hiring a Senior Backend Engineer to build and operate the infrastructure those models depend on. You'll design and operate the distributed systems that power billions of daily decisions, with a focus on the performance, reliability, and scalability of inference systems
- Join us and help influence how billions of gaming experiences are discovered, monetized, and how creators are rewarded
- 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
- Partner with ML engineers to ensure online serving infrastructure scales with growing model complexity and inference volumes, without compromising latency or throughput
- Ensure the reliability, scalability, and efficiency of our systems in production using monitoring and observability tools like Prometheus and Grafana
- Manage and optimize cloud infrastructure on GCP, orchestrating workloads with Kubernetes across a high-scale production environment
- Promote and implement best practices for backend service development, testing, deployment, and monitoring (DevOps, SRE)
Benefits
- Comprehensive health, life and disability insurance
- Employee stock ownership
- Generous vacation and personal days
- Office food and free snacks, lots of health options!
- Employee Resource Groups
- Training and development programs
- Commute subsidy
- Competitive retirement/pension plans
- Paid leave for new parents
- Mental Health and Wellbeing programs and support
- Global Employee Assistance Program
- Volunteering and donation matching program
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