Senior Backend Developer, Unity

• Background in Software Engineering or a related technical field
• Extensive hands-on experience designing, deploying, and maintaining distributed systems at scale, including managing cloud infrastructure on GCP and orchestrating workloads with Kubernetes
• Expertise in Golang for building high-performance, low-latency systems and infrastructure
• Deep experience with monitoring and observability tools (e.g., Prometheus, Grafana)
• Familiarity with microservice architectures, containerization (Docker), and CI/CD best practices
• Excellent communication and collaboration skills, with an ability to articulate technical concepts to both technical and non-technical audiences

Desirable

• Our Ads Applied Research team plays a crucial role in shaping the future of Unity’s monetization products
• We are seeking a Senior Backend Engineer (Distributed Systems) to scale the next generation of high-scale inference systems for Unity Ads
• In this role, you will be responsible for designing, developing, and maintaining the backend infrastructure that powers our large-scale advertising models, with a focus on the performance, reliability, and scalability of inference systems
• You will collaborate closely with machine learning research, product, and engineering teams to build and operate the critical services that support our advertising capabilities
• Design, develop, and deploy scalable, high-performance, and production-grade backend services and distributed systems to support large-scale model inference
• Contribute significantly to the technical roadmap and design of our inference platform, focusing on low-latency, high-throughput services
• Ensure the reliability, scalability, and efficiency of our systems in production using monitoring and observability tools like Prometheus and Grafana
• Partner cross-functionally with data science, product, and engineering teams to align platform capabilities with strategic business goals
• Manage and optimize our cloud infrastructure (GCP) and orchestrate workloads with Kubernetes
• Promote and implement best practices for backend service development, testing, deployment, and monitoring (DevOps, SRE)