Role Description
The opportunity
The Data & ML Platform team at Unity handles a broad spectrum of data systems and tools, covering every aspect of the data lifecycle — from ingestion and storage to processing, feature generation, and machine learning model deployment. Our work lays the groundwork for diverse applications such as simulations, game playing experience, and helping to improve game monetization, empowering other Unity teams to create exceptional tools and services for our users.
We're seeking a talented Senior Data Infrastructure Engineer to join our team and contribute their expertise in building data infrastructure products. In this role, you'll collaborate closely with engineers, product specialists, and data experts to research, prototype, and develop world-class applications, services, and pipelines, leveraging our over 60 billion daily data events.
What you'll be doing
Design and optimize our large-scale data platform and machine learning infrastructure systems for efficiency, reliability, and cost-effectiveness. Lead infrastructure tooling improvements by researching, prototyping, and implementing solutions that enhance our operational excellence and development agility. Champion infrastructure optimization projects across the company, utilizing your expertise to drive significant cost savings while maintaining or improving service performance. Engage in on-call rotations, applying your deep understanding of infrastructure to quickly identify and resolve complex issues, with a focus on minimizing impact and preventing future occurrences through automation and system enhancement. Collaboratively work across teams to implement data-driven, high-quality solutions with a focus on scalability and cost-efficiency, while refining service applications and infrastructure using CI/CD and IaC in partnership with development and site reliability engineering teams for improved operational and cost efficiencies. What we're looking for
BS in Computer Science or Engineering or equivalent infrastructure and back-end engineering experience with experience building robust distributed systems Proficient in either Go, Java or Python Expertise building Kubernetes infrastructure stacks Outstanding interpersonal skills and ability to work multi-functionally with global teams across time zones. Operational experience from either the ML or Data domain and its associated technologies is advantageous You might also have
An 'in-it-together' mindset that appreciates engineering as a collective effort Hands on experience with Protobuf, Kafka, Flink, BigQuery, Druid, Feast, Kubeflow, Ray or KServe Experience with Terraform, ArgoCD, Github Actions and similar tools used for CI/CD Additional information
Relocation support is not available for this position. International relocation support is not available for this position. Work visa/immigration sponsorship is not available for this position.