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Customer Support Developer (Databases)

Airbyte

Skills

Required

  • Bulk CDK
  • AWS / GCP / Azure
  • relational databases / data warehouses / data lakes
  • Java / Kotlin
  • relational
  • JDBC
  • SQL
  • PostgreSQL
  • MySQL
  • MSSQL
  • Oracle
  • MongoDB
  • BigQuery
  • S3

Preferred

  • Airbyte's
  • open-source database connectors
  • container orchestration tools
  • Kubernetes
  • Docker
  • multi-tenant architectures
  • CI/CD pipelines
  • GitHub-based

Airbyte as a Customer Support Developer (Databases) and combine your hands-on development skills with deep technical empathy to support our growing integration platform. This role involves writing Java and Kotlin, shipping contributions to our open-source database connectors, and directly shaping how customers move mission-critical data between databases, warehouses, and lakes.

Responsibilities

  • You will serve as the primary technical escalation point for database-related customer issues, triage and prioritize incoming issues, and support customers through onboarding and troubleshooting.
  • Additionally, you will contribute directly to Airbyte's open-source database connectors and the Java/Kotlin Bulk CDK, and be the voice of the customer within Airbyte.
  • Assurer le support technique pour les problèmes liés aux bases de données, en répondant aux demandes des clients par e-mail, systèmes de billetterie et appels vidéo.
  • Collaborer avec les équipes d'ingénierie et de produit pour résoudre les problèmes complexes, reproduire les bogues signalés par les clients et documenter les résultats.
  • Contribuer directement aux connecteurs de bases de données open-source d'Airbyte, en corrigeant les bogues, en améliorant la gestion des erreurs et en soumettant des demandes de tirage.
  • Are you the kind of developer who gets a rush from cracking a gnarly replication bug, an issue with CDC implementation, or a query that hangs with no obvious reason? Do you thrive at the intersection of writing code and helping customers succeed?

Requirements

  • Understanding of cloud platforms (AWS, GCP, or Azure) and data integration concepts, including ELT/ETL workflows
  • Experience with JDBC and common database drivers, and comfort debugging connection, authentication, SSL, and SSH tunnel issues
  • Fluency in SQL, with hands-on experience investigating query plans, isolation levels, and performance bottlenecks
  • Hands-on experience with relational databases, data warehouses, or data lakes, including concepts like CDC (Change Data Capture), schema evolution, and query optimization
  • 2+ years in software engineering, data engineering, technical support, DevOps, QA, or a similar role supporting developers or technical users

High tolerance for ambiguity and a natural self-starter

  • Proficiency 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 tooling
  • Strong troubleshooting instincts, clear communication with both technical and non-technical stakeholders, and a growth mindset that keeps you improving even when things get hard
  • If you find this role exciting, we encourage you to apply even if you think you don’t meet all of the requirements!
  • Experience with PostgreSQL, MySQL, MSSQL, Oracle, MongoDB, Snowflake, BigQuery, Redshift, ClickHouse, or similar relational and non-relational systems
  • Experience with data lakes and open table formats (Iceberg, Delta Lake), and cloud object storage (S3, GCS, Azure Blob)

Preferred

  • Familiarity with Airbyte's Bulk CDK or contributions to open-source database connectors
  • Experience with container orchestration tools like Kubernetes or Docker and multi-tenant architectures
  • Background supporting developer-facing or embedded/platform products in a B2B SaaS context
  • Experience with CI/CD pipelines and GitHub-based open-source workflows
  • Experience with AI-assisted development tools and building automated playbooks or Runbooks