Responsibilities

• Design, build, and scale systems for web crawling, large-scale data ingestion, and content indexing.
• Work closely with data processing and model training teams to ensure smooth and efficient data pipelines.
• Own backend infrastructure for storage, indexing, and search across multi-petabyte datasets.
• Architect distributed systems that are robust, performant, and optimized for research and production workloads.
• Deploy and operate services in a Kubernetes environment using Infrastructure-as-Code.
• Analyze system performance and data coverage through experimentation and instrumentation.

Qualifications

• 6+ years of experience building large-scale software systems.
• Deep knowledge of distributed systems, web crawling, and backend engineering.
• Comfortable with key-value stores, data synchronization, and scalable storage systems.
• Pragmatic and curious — unafraid to try new tools and rethink old assumptions.
• Clear and proactive communication skills, especially across cross-functional teams.
• Commitment to building infrastructure that directly powers real-world AI systems.

Benefits

• Opportunity to help build one of the most technically advanced AI platforms in the world.
• Work directly with a world-class team of engineers and researchers solving frontier problems in speech and language AI.
• Influence the company's growth, customer success, and the transformation of human communication through AI.