Principal Software Engineer, Agent Infrastructure

The Agent Infra team builds the infrastructure that runs autonomous AI agents at Roblox for millions of creators building experiences on our platform, and for thousands of Roblox engineers shipping production code every day.

Agent workloads break the assumptions most infrastructure is built on. They run for hours instead of milliseconds, they’re non-deterministic, they execute code nobody wrote, and they need real credentials against real systems to be useful at all. Making that safe, durable, and cost-effective at Roblox’s scale is the hard problem our team is solving.

As an early member of the Agent Infra team, you’ll work alongside an experienced engineering team on systems that are already in front of real users, at scale, in a field that didn’t exist two years ago.

• Demonstrated experience: 8+ years building and operating backend, distributed, or infrastructure systems in production, including systems you designed that held up at scale for years.
• Deep expertise in at least one of our core domains: workflow orchestration, scalable backend infrastructure, agentic runtimes, or secure sandboxing and access.
• Hands-on: You spend most of your time building, and you write production code in Go, Python, Rust, or similar.
• Agent-native: Agents drive your daily work. You’ve experimented with swarms, loops, and orchestration, you have strong opinions on harness and model choice, and you’re constantly evolving your agentic workflow.
• Experienced with agents in production: You’ve run agents against real systems, seen how they fail, and know what the infrastructure underneath should do about it.
• Bachelor’s degree or equivalent experience in Computer Science, Computer Engineering, or a similar technical field.

• Set the technical direction: Own the design and implementation of Roblox’s core agent infrastructure, and scale it to serve every internal and external customer.
• Drive reliability and security: Keep long-running agents alive through deploys, restarts, and outages. Run untrusted code in sandboxes that keep credentials out of the agent’s reach and control what it can reach on the network. Define the SLOs and observability that hold the platform to account.
• Raise the bar: Keep learning and experimenting with agentic workflows, and bring what works to the team and the wider Foundation AI org.
• Align across the org: Partner with Security, Engineering Efficiency, and Infrastructure so the agent platform and the systems it depends on are built in the same direction.
• Multiply the team: Mentor senior engineers, lead design reviews, and push how far agents can build the agent platform itself.

• Security experience with systems that run untrusted code: sandbox and container isolation (gVisor, Firecracker, microVMs), Kubernetes hardening, network segmentation and egress control.
• Experience working with Temporal, AWS, and self-hosted models.
• Experience building and deploying production systems on Kubernetes, using GitOps and Argo CD.
• Contributions to open source or experience building your own product with real user traction.