Senior Backend Engineer

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
• Experience embracing AI as a strategic advantage in engineering, following established best practices for code quality and security
• This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English

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