Description:
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.
What You'll Be Doing
- 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).
What We're Looking For
- 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.
You might also have
- Experience with ML inference servers like NVIDIA Triton Inference Server.
- Familiarity with machine learning platforms and workflows.
- Experience in ad tech or other performance-critical domains like recommender systems or real-time personalization.
- A passion for mentoring and supporting teammates, fostering a culture of collaboration and shared success.