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# Software Engineer - Storage Infrastructure (Senior+)

- **Company:** Cogent Inc
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Data Infrastructure, Data Stores, Python (Programming Language), PostgreSQL, Data Streaming, Parquet, Snowflake, Amazon Relational Database Service, Google Bigquery, Apache Kafka, Presto, Vertica, Terraform, Databricks, Golang
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_37ad7c24db6760262eebe8a3c9801add

## About the Role

* 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+), * 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

## Description

We'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., * 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