Senior Backend Engineer, AI Platform & Infrastructure

Unity Technologies•Mountain View, CA

1d•$135,800 - $258,600

About The Position

Unity is hiring a Senior Software Engineer to build and operate the platform behind an internal AI product analytics agent, and the shared services other teams at Unity build on. This role will join the platform-facing half of the team. You will spend half of your time working on platform and infrastructure engineering: the backend services, APIs, integration surfaces, access control and operational foundations that make an internal AI product safe, fast and dependable at company scale. You will also support agent capability work; including orchestration, retrieval and the interfaces people use. The platform runs on GCP and serves data from BigQuery to users across Unity. Access control, reliability and cost are first-order product concerns, not afterthoughts. Note: This role is one of two we're hiring on the team. If you'd rather spend your time in the analytics data layer, modelling datasets and improving the quality of what the agent knows, take a look at our Senior Software Engineer, Analytics Data & Applied AI role instead!

Requirements

Experience designing, building and operating distributed systems, backend services or internal platforms in production.
Strong backend and systems engineering skills: service design, API design, debugging and production operations.
A solid grasp of distributed systems fundamentals, including scalability, reliability, fault tolerance and the trade-offs between them.
Practical experience with cloud-native infrastructure, ideally GCP, plus container orchestration, CI/CD, infrastructure as code and observability tooling.
Experience implementing authentication, authorisation or access control in systems handling sensitive data.
Experience with, or a demonstrated interest in, LLM and agent systems, particularly orchestration and workflow design.
A record of making progress on projects where the requirements are not fully defined.

Nice To Haves

Experience building products for technical end users.
Experience operating data-intensive platforms such as pipelines, streaming systems, storage layers or analytics infrastructure.
Familiarity with privacy, security, compliance and cost management in large-scale platform environments.
Experience applying AI or agentic tooling to engineering workflows.

Responsibilities

Design, build and operate the backend services, APIs and self-service tooling that the platform and other Unity teams depend on.
Own access control and data security for the platform: authentication, authorisation, permissioning of the underlying datasets, and auditability.
Build and harden the platform's integration surfaces, including the MCP server that exposes governed data to AI tools.
Take responsibility for reliability, performance and cost efficiency, covering latency, scaling behaviour, fault tolerance, observability and incident response.
Raise the engineering bar on the codebase: service design, testing, CI/CD, infrastructure as code and deployment safety.
Contribute to agent capability work end to end, including orchestration, knowledge retrieval and user-facing surfaces.
Work with data scientists and partner teams to turn platform needs into reusable capabilities.
Help set the roadmap and technical direction for the platform.