Senior Backend Engineer (Vector AI)

• 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

• 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
• Expertise in Golang for building high-performance, low-latency backend infrastructure
• 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
• Familiarity with auction mechanics or bidding systems in an ad tech context
• Experience with ML inference servers like NVIDIA Triton Inference Server