Senior Software Engineer, Infrastructure & Platform

Responsibilities

• Design and build core infrastructure systems.
• Architect and develop the shared infrastructure powering our data generation platforms, human-in-the-loop systems, and evaluation pipelines.
• Build systems capable of processing large-scale datasets and high-throughput workloads with strong reliability guarantees.
• Create reusable infrastructure and APIs that enable product engineers and researchers to build quickly and reliably on top of core systems.
• Design systems with strong observability, monitoring, and fault tolerance to support production workloads at scale.
• Help define long-term system architecture across data pipelines, compute infrastructure, task orchestration, and storage systems.
• Work closely with engineers and researchers to support new AI experimentation workflows and platform capabilities.
• Define standards for system design, deployment, reliability, and infrastructure operations.

Required Qualifications

• Strong experience building production distributed systems or platform infrastructure.
• Proficiency in Python and/or JavaScript (Node.js / Next.js) or similar backend technologies.
• Experience designing and operating systems in cloud environments (GCP or AWS).
• Experience with message queues and event-driven systems (Kafka, RabbitMQ, Pub/Sub, etc.).
• Experience working with high-throughput data pipelines and asynchronous processing systems.
• Strong understanding of system scalability, performance, and reliability.
• Experience owning systems running in production environments.

Preferred Qualifications

• Experience building internal developer platforms or shared infrastructure.
• Experience supporting large-scale data processing pipelines.
• Experience with AI infrastructure, LLM evaluation systems, or ML pipelines.
• Experience working at high-growth startups or scaling early infrastructure.
• Experience designing human-in-the-loop or workflow orchestration systems.