Work closely with ML engineers to help speed up their work through better infrastructure and tooling.
Requirements
Strong backend software engineer who has worked with ML engineers and has helped solve their problems
Strong distributed systems and infrastructure skills. Is comfortable standing up services in AWS/GCP, scaling and debugging Kubernetes services, writing Terraform, and working with orchestration tools like Flyte, Airflow, or Temporal.
Strong software engineering skills. Being able to write easy-to-extend and well-tested code.
Has worked with large-scale data, and makes good choices on data storage and schema design (relational databases, data warehouses, object storage, timeseries data)