[Remote] Customer Support Developer (Databases)

Note: The job is a remote job and is open to candidates in USA. Airbyte is the open-source standard for data movement, and they are seeking a Customer Support Developer (Databases) to support their integration platform. This role combines hands-on development skills with technical empathy, focusing on troubleshooting database-related issues and contributing to open-source database connectors.ResponsibilitiesServe as the primary technical escalation point for database-related customer issues, responding via email, ticketing systems, and video calls with precision and clarityTriage and prioritize incoming issues with urgency, consistently meeting SLA targets while leveraging AI tools to work smarter and resolve issues fasterDig into complex issues across relational databases, data warehouses, data lakes, and cloud object storage, not just finding workarounds but partnering with Engineering to root-cause and drive real fixesReproduce customer-reported bugs by inspecting connector logs, query plans, replication slots, transaction logs, sync state, and destination table state, and document findings with enough technical detail for Engineering to act on immediatelySupport customers through onboarding and troubleshooting for SSH tunnels, network configuration, database user permissions, CDC setup (WAL/binlog/redo logs), and warehouse/lake authenticationGet hands-on with customers building and debugging integrations, helping them navigate Airbyte's database sources and destinations with confidence, from authentication and SSL/SSH setup to CDC, schema evolution, incremental cursors, and typed destination tablesValidate database version compatibility across supported engines and releases, maintain testing environments, and reproduce customer-reported behavior on real database and warehouse instancesSupport 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 behaviorHelp 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 recoveryContribute 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 repositoryReview and test community contributions to database sources and destinations, helping external contributors land high-quality changesStay sharp on Airbyte's connector catalog, new database and destination releases, and platform updates so your guidance is always accurate and timelyBe 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 roadmapPartner 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 assessmentsTrain 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 customersCreate and maintain internal and external knowledge base articles, troubleshooting guides, and database connector documentation to support scalabilityDocument research and troubleshooting processes,( including CDC debugging, destination schema reconciliation, and performance tuning runbooks), to aid faster ticket resolution and team knowledge sharingIdentify AI-driven opportunities for automation and process improvements that reduce support load and improve the customer experienceEmbrace 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 automationSpearhead initiatives to fill organizational or support gaps and take ownership of unique projectsSkills2+ years in software engineering, data engineering, technical support, DevOps, QA, or a similar role supporting developers or technical usersFluency in SQL, with hands-on experience investigating query plans, isolation levels, and performance bottlenecksProficiency in Java or Kotlin. You must be able to read, write, and debug JVM-based connector code. You'll be contributing to database sources and destinations, the Bulk CDK, and automation toolingHands-on experience with relational databases, data warehouses, or data lakes, including concepts like CDC (Change Data Capture), schema evolution, and query optimizationExperience with JDBC and common database drivers, and comfort debugging connection, authentication, SSL, and SSH tunnel issuesUnderstanding of cloud platforms (AWS, GCP, or Azure) and data integration concepts, including ELT/ETL workflowsStrong troubleshooting instincts, clear communication with both technical and non-technical stakeholders, and a growth mindset that keeps you improving even when things get hardHigh tolerance for ambiguity and a natural self-starterFlexibility to work Sun–Thu, Mon–Fri, or Tue–Sat shiftsExperience with PostgreSQL, MySQL, MSSQL, Oracle, MongoDB, Snowflake, BigQuery, Redshift, ClickHouse, or similar relational and non-relational systemsExperience 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 connectorsExperience with container orchestration tools like Kubernetes or Docker and multi-tenant architecturesBackground supporting developer-facing or embedded/platform products in a B2B SaaS contextExperience with CI/CD pipelines and GitHub-based open-source workflowsExperience with AI-assisted development tools and building automated playbooks or RunbooksCompany OverviewAirbyte is an open-source data integration engine that helps to sync data from applications to warehouses. It was founded in 2020, and is headquartered in San Francisco, California, USA, with a workforce of 51-200 employees. Its website is https://airbyte.com.