Senior Back-End Developer

Unity Technologies

About The Position

At Unity, we’re committed to building a culture that fosters collaboration and innovation. Within our fast-paced environment, we’re tackling complex challenges that drive meaningful impact for creators and users across our ecosystem. Our Vector AI 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.

Requirements

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.
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.

Responsibilities

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).