Director of Engineering Acceleration

Responsibilities

• The platforms in our Engineering Acceleration org dictate how thousands of Roblox engineers ship, and how every backend service gets built, deployed, and kept reliable at scale
• They sit on the critical path for production reliability, developer velocity, and security posture
• Reporting to Andrew Swerdlow, you will rethink the entire engineering toolchain from the ground up to be agentic‑native, creating a world where AI agents are first‑class participants in software development and humans set direction and supervise
• This is a unique opportunity to define what modern engineering infrastructure looks like at one of the largest platforms in the world
• Reimagine the engineering toolchain as agentic‑native, designing the platforms, guardrails, and feedback loops that let AI agents safely drive migrations, validation, and routine operational work
• Set a bold technical direction for AI‑driven quality, including agent‑generated tests, automated coverage of untested paths, intelligent verification, and continuous‑deployment workflows
• Make software quality and SEV prevention a measurable property of the platform by investing in safe‑change mechanisms, automated verification, progressive rollout, and fast, reliable rollback
• Drive down operational toil through automation, transforming manual, repeat work like patching and large‑scale migrations into self‑serve or agent‑driven workflows
• Own and drive the roadmap, aligning cross‑pod plans and execution against company goals for safe rollouts

Strong technical depth in backend/distributed systems and cloud infrastructure, enabling you to engage credibly on system design and technical decisions (Preferred).

Backend proficiency in C# and/or Go, and familiarity with Kubernetes/Nomad (Hashistack), Temporal, and AWS.

Demonstrated cross‑organizational collaboration and excellent communication skills, with the ability to translate ambiguous, multi‑system problems into concrete, executable plans.

A strong point of view on how AI/agentic tooling changes engineering workflows, coupled with hands‑on familiarity with the modern AI engineering stack, AI coding tools, eval design, and open‑weight models (Preferred).

Hands‑on experience applying AI/agents to engineering workflows, with a background in safe/staged rollouts (canary, feature flags) and incident prevention/automated verification.

Experience leading and growing engineering teams (including managing managers and/or senior ICs), with a strong people‑development track record.

A track record delivering internal developer platforms, CI/CD, or deployment systems at scale for many internal customers and services.