Responsibilities:

• Design, build, and operate core data infrastructure systems, including:
  • Distributed compute
  • Stream processing
  • Orchestration
  • Low-latency storage to support real-time AI applications
• Ensure our data systems scale reliably as we grow to handle exponentially more users, data, and model complexity.
• Partner with product, research, and safety teams to enable fast iteration and seamless integration across the company.
• Build robust tooling and APIs to empower other teams with self-serve, production-grade access to data.
• Participate in on-call rotations and be responsible for the availability and performance of the systems you build.

Qualifications:

• 4+ years of experience in infrastructure or data engineering, ideally with exposure to large-scale systems.
• Experience with Kubernetes, Terraform, and cloud platforms.
• Enjoy solving hard problems in distributed systems.
• Take pride in building secure, observable, and self-healing infrastructure.
• Curious, self-directed, and enjoy learning and teaching others.

Benefits:

• Help build one of the most technically advanced AI platforms in the world and shape how it reaches and supports users globally.
• Work directly with a world-class team of engineers and researchers solving frontier problems in speech and language AI.
• Have a voice in how our company grows, how our customers succeed, and how AI transforms human communication.