
Senior Software Engineer, Data Infrastructure β RDBMS
Posted 4 days ago

Posted 4 days ago
This is a fully remote position, open to applicants in United States, +1 more country.
β’ Design, manage, and scale relational database systems that handle data at a petabyte scale.
β’ Take full ownership of the database serving layer, ensuring optimal query performance, cost-efficiency, and high availability.
β’ Optimize queries, create indexes, and refine schemas for petabyte-scale Postgres/Citus.
β’ Leverage AI-driven analysis to uncover opportunities for data compression and modeling, implementing validated changes in production.
β’ Develop autonomous automation for database operations, including pgbouncer provisioning, disk scaling, and blue-green deployments.
β’ Lead the validation process for database changes prior to their deployment in production.
β’ Oversee CDC pipelines utilizing PeerDB, Fivetran, and Debezium while troubleshooting replication issues.
β’ Transition workloads from legacy infrastructure and prototype new data storage solutions.
β’ Generate AI-native runbooks and enhance internal tooling.
β’ Collaborate with product-engineering teams to coordinate schema modifications.
β’ Engage in an on-call rotation approximately every 15 days, covering a 24-hour window across two days for each shift.
β’ 5β8 years of experience in building and operating production PostgreSQL environments (Citus, Aurora, AlloyDB, or similar distributed Postgres systems).
β’ Extensive skills in SQL optimization, including Explain Plans, CTEs, window functions, partitioning, index design, and query planner behavior in distributed settings.
β’ Practical experience with CDC tools such as PeerDB, Fivetran, Debezium, Datastream, or Airbyte.
β’ Proficiency in database profiling using pganalyze or comparable tools.
β’ Experience in production automation using Python or Go.
β’ Regular use of AI coding tools like Claude and Copilot.
β’ Proven ability to implement AI-assisted analysis that results in tangible cost or performance enhancements in production database systems.
β’ Capacity to work aligned with US and Canada working hours.
β’ Readiness and capability to join an on-call rotation approximately every 15 days, subject to regional compliance review.
β’ Eligibility for an equity plan.
β’ Opportunity for remote/distributed work arrangements.
β’ Async-first work culture promoting flexibility.
β’ Minimal and purposeful meeting structure.
β’ Competitive benefits, wellness programs, and time off policies, varying by country and local employment regulations.
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