Senior Software Engineer, Data Infrastructure (RDBMS) (LATAM)

📋 Description

• Keep customer-facing APIs fast and available at five-nines by owning query tuning, index design
• Cut storage and compute costs materially by using AI-assisted analysis (pganalyze paired with
• Remove team toil by building agentic automation for routine database operations, such as self-serve
• Protect data integrity and latency by driving agentic validation of database changes before they
• Keep real-time data flowing by managing CDC pipelines (PeerDB, Fivetran, Debezium) and using AI
• Shape the next-generation platform by migrating workloads off first-gen infrastructure and

🎯 Requirements

• 5–8 years building and operating production PostgreSQL (Citus, Aurora, AlloyDB, or equivalent
• Deep SQL optimization skills (Explain Plans, CTEs, window functions, partitioning, index design
• Hands-on experience with CDC tools (PeerDB, Fivetran, Debezium, Datastream, Airbyte) and comfort
• Fluency with database profiling (pganalyze or equivalent) to interpret metrics and logs, including
• Production automation experience in Python or Go, including agentic automation of routine database
• Daily use of AI coding tools (Claude, Copilot) to accelerate development and produce higher-quality

🎁 Benefits

• Distributed, not distant team culture; async-first across US and Canada with purposeful meetings
• Opportunity to work on petabyte-scale data infrastructure impacting real-world mission
• Product-focused, customer-focused, coaching-oriented team culture with high standards for code
• AI fluency expected and applied across workflows to accelerate, structure, solve problems, improve
• Fast-paced, high-ownership environment with challenging problems at the intersection of AI
• Series C company backed by Goldman Sachs, Bessemer, Y Combinator, and Thoma Bravo with hubs across