Senior Software Engineer, Data Infrastructure – RDBMS

Posted 1hrs ago

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Job Description

Senior engineer operating petabyte-scale PostgreSQL infrastructure for TRM Labs’ AI-powered crime-intelligence platforms. Automating database operations, optimizing performance, and managing CDC pipelines remotely across LATAM.

Responsibilities:

  • Develop, operate, and scale relational database systems serving data at petabyte scale
  • Own the serving layer end to end, including query performance, cost, and availability
  • Maintain five-nines customer-facing API performance and availability through query tuning, index design, and schema optimization
  • Use AI-assisted analysis with pganalyze and Claude to identify and ship compression and data-model improvements
  • Build agentic automation for pgbouncer provisioning, disk scaling, and blue-green deployments
  • Drive validation of database changes before production deployment
  • Manage CDC pipelines using PeerDB, Fivetran, and Debezium
  • Debug replication failures using AI tooling
  • Migrate workloads from first-generation infrastructure and prototype new data stores
  • Create AI-native runbooks and internal tooling
  • Collaborate asynchronously with distributed teams across US and Canada working hours
  • Participate in an on-call rotation approximately once every 15 days, with each shift a 24-hour window across 2 days

Requirements:

  • 5–8 years building and operating production PostgreSQL (Citus, Aurora, AlloyDB, or equivalent distributed Postgres)
  • Deep SQL optimization skills, including Explain Plans, CTEs, window functions, partitioning, index design, and query-planner behavior in distributed environments
  • Hands-on experience with CDC tools such as PeerDB, Fivetran, Debezium, Datastream, or Airbyte
  • Fluency with database profiling using pganalyze or equivalent to interpret metrics and logs
  • Production automation experience in Python or Go
  • Daily use of AI coding tools such as Claude or Copilot
  • Track record of using AI-assisted analysis to drive measurable cost or performance improvements in production database systems
  • Willingness and ability to participate in an on-call rotation
  • Ability to work across US and Canada working hours
  • Participation in in-person R&D work weeks and potential additional travel
  • AI fluency is a baseline expectation and is evaluated during interviews

Benefits:

  • In-person R&D work weeks typically 1–2 times per quarter
  • TRM coordinates and covers approved travel, lodging, and workspace for work weeks
  • Accommodations for legitimate caregiving, health, immigration, and similar constraints
  • Competitive benefits, wellness programs, and time away from work, varying by country and local employment requirements