About the RoleWe're hiring a Senior Storage Infrastructure Engineer on our Core Platform team to own how we store, protect, and operate data at scale. You'll build the backup, observability, and operations layer across our relational, streaming, and analytical stores - and make it agent-forward.
This is a hands-on role for an engineer with deep data infrastructure experience, ideally sharpened at a data-focused startup.
What You'll Do- Standardize backup, restore, retention, and encryption policies across Aurora / RDS, Clickhouse, and MSK
- Build storage observability dashboards for capacity, performance, replication, lag, and cost
- Create a Storage Operations Agent for incident triage, slow-query investigation, and remediation workflows
What We're Looking For- Deep experience with data stores: Aurora RDS, Clickhouse, Kafka / AWS MSK, and Postgres
- Experience with table formats and lakehouse patterns, including Iceberg
- Strong coding in Python and Golang
- Infrastructure-as-code skills with Terraform
- 3-6 years at a successful tech company (Senior, Staff+)
Bonus Points- 1-2 years at a data-focused startup (Databricks, Snowflake)
- Object and analytical storage experience: S3, GCS, Google BigQuery, AWS Athena, Presto, Parquet
- Vector and graph stores: VectorDB, Turbopuffer, Puppygraph
- A secondary spike in Observability Infrastructure
For California Based ApplicantsThe standard base salary range for this position is $100,000 - $300,000 annually. Compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
