Customer Support Developer

Validate database version compatibility across supported engines and releases, maintain testing environments, and reproduce customer-reported behavior on real database and warehouse instances.

Support customers writing to data warehouses (Snowflake, BigQuery, Redshift), data lakes and object storage (S3, GCS, Azure Blob, Databricks, Iceberg), and databases (Postgres, MySQL, MSSQL, ClickHouse), including schema evolution and typed-columns behavior.

Help customers running database sources (PostgreSQL, MySQL, MSSQL, Oracle, MongoDB, and more) troubleshoot replication behavior, cursor selection, full-refresh vs. incremental vs. CDC trade-offs, and sync state recovery.

Contribute directly to Airbyte's open-source database connectors and the Java/Kotlin Bulk CDK: fix bugs, improve error handling, harden schema-evolution and CDC paths, and submit pull requests to the Airbyte repository.

Review and test community contributions to database sources and destinations, helping external contributors land high-quality changes.

Stay sharp on Airbyte's connector catalog, new database and destination releases, and platform updates so your guidance is always accurate and timely.

Cross-Functional Collaboration & Enablement

Be the voice of the customer within Airbyte, working closely with Engineering and Product to surface issues, advocate for feature requests, and ensure customer pain points actually influence the database reliability and performance roadmap.

Partner with Solutions Engineering and Sales Engineering to provide white-glove technical onboarding for enterprise customers, including CDC architecture reviews, destination schema modeling, and production readiness assessments.

Train and mentor Technical Support Engineers on database connector concepts, including JDBC fundamentals, CDC patterns, schema evolution, query optimization, destination typing and normalization, and the Airbyte protocol (spec, discover, check, read, write).

Partner with Sales and Customer Success for technical conversations, onboarding, and expansion efforts, bringing the kind of product depth that helps close and retain customers.

Knowledge, Process Improvement, & AI

Create and maintain internal and external knowledge base articles, troubleshooting guides, and database connector documentation to support scalability.

Document research and troubleshooting processes,( including CDC debugging, destination schema reconciliation, and performance tuning runbooks), to aid faster ticket resolution and team knowledge sharing.

Identify AI-driven opportunities for automation and process improvements that reduce support load and improve the customer experience.

Embrace AI-assisted workflows and contribute to developing playbooks and skills that encode repeatable troubleshooting procedures, connector debugging patterns, and onboarding Runbooks, enabling the team to scale expertise through automation.

Spearhead initiatives to fill organizational or support gaps and take ownership of unique projects.