Customer Support Developer (Databases)

Airbyte is the data and action layer for AI agents, providing fast, accurate, authenticated access to business data across hundreds of sources. Founded in 2020, Airbyte has raised $181M from investors including Benchmark, Accel, Altimeter, Coatue, and Y Combinator. The company started as the open-source standard for data movement and is now building context infrastructure for production-grade AI agents.

As a Customer Support Developer (Databases) at Airbyte, you will combine hands-on development skills with deep technical empathy to support the growing cloud, embedded, and open-source integration platform. This is not a traditional support role—you will write Java and Kotlin, contribute to open-source database connectors, and dig into query plans and transaction logs to help customers move mission-critical data.

• Serve as the primary technical escalation point for database-related customer issues via email, ticketing systems, and video calls.
• Triage and prioritize issues, meeting SLA targets while leveraging AI tools.
• Reproduce customer-reported bugs by inspecting connector logs, query plans, replication slots, transaction logs, sync state, and destination table state.
• Support customers through onboarding and troubleshooting for SSH tunnels, network configuration, database user permissions, CDC setup, and warehouse/lake authentication.
• Contribute to Airbyte's open-source database connectors and the Java/Kotlin Bulk CDK: fix bugs, improve error handling, and submit pull requests.
• Validate database version compatibility, maintain testing environments, and reproduce customer-reported behavior.
• 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).
• Help customers running database sources (PostgreSQL, MySQL, MSSQL, Oracle, MongoDB) troubleshoot replication behavior, cursor selection, and sync state recovery.
• Train and mentor Technical Support Engineers on database connector concepts.
• Create and maintain knowledge base articles, troubleshooting guides, and documentation.
• Identify AI-driven opportunities for automation and process improvements.

• 2+ years in software engineering, data engineering, technical support, DevOps, QA, or similar role.
• Fluency in SQL, with hands-on experience investigating query plans, isolation levels, and performance bottlenecks.
• Proficiency in Java or Kotlin—must be able to read, write, and debug JVM-based connector code.
• Hands-on experience with relational databases, data warehouses, or data lakes, including CDC, schema evolution, and query optimization.
• Experience with JDBC and common database drivers, and comfort debugging connection, authentication, SSL, and SSH tunnel issues.
• Understanding of cloud platforms (AWS, GCP, or Azure) and data integration concepts including ELT/ETL workflows.
• Strong troubleshooting instincts and clear communication.

• Experience with PostgreSQL, MySQL, MSSQL, Oracle, MongoDB, Snowflake, BigQuery, Redshift, ClickHouse, or similar systems.
• Experience with data lakes and open table formats (Iceberg, Delta Lake), and cloud object storage (S3, GCS, Azure Blob).
• Familiarity with Airbyte's Bulk CDK or contributions to open-source database connectors.
• Experience with Kubernetes or Docker and multi-tenant architectures.
• Background supporting developer-facing products in B2B SaaS.
• Experience with CI/CD pipelines and GitHub-based workflows.
• Experience with AI-assisted development tools.

Salary: $99,000 – $115,000 USD per year, plus equity. Benefits include flexible PTO (at least 25 days off annually), 12-16 weeks fully paid parental leave, comprehensive medical/dental/vision coverage, 401(k) retirement plan, professional development budget, commuter benefits, and monthly internet reimbursement.

Remote in U.S. timezones (Pacific, Mountain, Central).