Cloud Infrastructure Engineer

Design, build, and maintain cloud infrastructure supporting data collection pipelines, robot operations, and model training and evaluation workflows

Own the reliability, availability, and latency of core infrastructure including databases, data warehouses, and object storage systems

Develop and maintain backend services and APIs that expose infrastructure capabilities to internal teams and customers

Identify and resolve performance bottlenecks across the data and compute stack to meet latency and throughput requirements

Partner with research teams to understand model training and evaluation infrastructure needs and translate them into scalable solutions

Collaborate with robotics teams to ensure field operations are reliably supported by low-latency backend services

Build observability tooling — metrics, logging, alerting — to proactively detect and respond to infrastructure issues

Define and enforce infrastructure best practices around security, cost management, and scalability

Participate in on-call rotations and contribute to incident response and postmortems

4+ years of experience in cloud infrastructure, platform engineering, or a related role

Strong proficiency with at least one major cloud provider (AWS, GCP, or Azure), including compute, networking, storage, and managed database services

Hands-on experience managing relational and NoSQL databases in production, including performance tuning, replication, and failover

Experience operating data warehouse solutions (e.g., BigQuery, Redshift, Snowflake) and large-scale object storage (e.g., S3, GCS)

Solid backend development skills — comfortable writing and maintaining services in Python, Go, or a similar language