Software Engineer, Databases

CartesiaSan Francisco, CA
1dOnsite

About The Position

Cartesia is hiring a Software Engineer, Databases to architect Cartesia’s data systems for the next orders of magnitude of scale, implement data governance, and empower engineers and non-engineers with easy, secure database tooling and access.

Requirements

  • Strong proficiency with cloud platforms such as AWS, GCP, or Azure, along with infrastructure-as-code tooling like Terraform
  • A track record of taking database systems through periods of extreme growth at fast-scaling organizations
  • 4+ years of industry experience, including 2+ years owning or leading large, complex technical initiatives as an engineer or tech lead
  • Deep hands-on experience operating and scaling databases such as PostgreSQL, MySQL, DynamoDB, or comparable systems
  • Experience designing and running database infrastructure in multi-cloud or hybrid environments
  • Familiarity with database automation, orchestration, and operational tooling at significant scale

Nice To Haves

  • Experience working with Redis, Temporal, vector databases, or asynchronous/background job systems
  • Strong understanding of database internals and data systems — including storage engines, indexing, query execution, and related topics — is a bonus but not required
  • Previous experience at organizations with a strong reputation for database or data-infrastructure engineering

Responsibilities

  • Develop and evolve database platforms to support 100x+ scale while preserving strong guarantees around uptime, latency, and correctness
  • Design data storage architectures that operate smoothly across AWS, GCP, on-prem / first-party infrastructure, third-party deployments, and additional environments
  • Enable faster development across the company by providing engineers and non-engineers alike with high-quality, reliable database tooling and primitives
  • Create and deploy secure access control mechanisms so sensitive data is only accessible by authorized users
  • Build scalable data governance systems for permissions, auditing, and compliance (e.g., data residency), including IAM policies, ACLs, and security controls used across thousands of users and services
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