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



















