Rhoda AI
Senior/Staff Cloud Infrastructure Engineer
$175K–$280K
Mountain View · Staff · Full-time · Posted Apr 14, 2026
- Experience
- 4+ years in cloud infrastructure, platform engineering, or a related role.
About the job
Build and operate cloud infrastructure, backend services, and data systems supporting robot operations, data collection, and AI model training and evaluation.
What you'll do
- Design and maintain infrastructure for data pipelines, robot operations, and model workflows; ensure reliability, availability, and low latency.
- Develop backend services and APIs, improve performance, and build observability and operational practices.
- Partner with research and robotics teams; participate in on-call, incident response, and postmortems.
What they ask for
- Strong proficiency with at least one major cloud provider (AWS, GCP, or Azure).
- Production experience managing relational and NoSQL databases, including tuning, replication, and failover.
- Experience operating data warehouses and large-scale object storage; backend development in Python, Go, or a similar language.
- Knowledge of distributed systems and Kubernetes or equivalent; ability to resolve complex production incidents.
Nice to have
- Infrastructure experience for ML workloads, robotics or embedded backends, or high-throughput data pipelines.
- Experience with time-series databases, infrastructure-as-code tools, multi-tenant infrastructure, or self-service platforms.
Pay
$175K – $280K (base salary)
Tools
AWS, GCP, Azure, BigQuery, Redshift, Snowflake, S3, GCS
AI focus
Supports model training and evaluation infrastructure; ML workload infrastructure experience is a nice-to-have.
Model-written summary · the original posting is authoritative