🛠 Tech Stack

💼 About This Role

You'll design and operate distributed systems that power billions of daily real-time ML inference decisions, partnering with ML engineers to scale serving infrastructure. You'll drive technical direction on low-latency, high-throughput platforms using GCP, Kubernetes, Prometheus, and Grafana. Join a team influencing how billions of gaming experiences are discovered and monetized.

🎯 What You'll Do

• Design and deploy production-grade backend services for large-scale online model inference
• Drive technical direction of the inference platform focusing on low-latency, high-throughput serving
• Partner with ML engineers to ensure serving infrastructure scales with model complexity
• Ensure reliability, scalability, and efficiency using Prometheus, Grafana, GCP, and Kubernetes

📋 Requirements

• 5+ years designing and maintaining distributed systems at scale
• Expertise in Golang for high-performance backend infrastructure
• Hands-on experience with GCP and Kubernetes for workload orchestration
• Strong grounding in monitoring and observability with Prometheus and Grafana

✨ Nice to Have

• Experience with ML inference servers like NVIDIA Triton Inference Server
• Familiarity with auction mechanics or bidding systems in ad tech
• Experience embracing AI as a strategic advantage in engineering

🎁 Benefits & Perks

• 🏖️ Generous vacation and personal days
• 🏥 Comprehensive health, life, and disability insurance
• 💰 Employee stock ownership
• 👶 Support for new parents through leave and family-care programs
• 🧠 Mental Health and Wellbeing programs and support

📨 Hiring Process

Estimated timeline: 3-5 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3System Design Interview· 60 min
4. 4Hiring Manager Interview· 45 min