Customer Support Developer (Databases)

What you'll do

• Troubleshoot customer issues involving database connectivity, CDC, replication, schemas, and performance; reproduce problems and work with Engineering on fixes.
• Contribute, test, and review database connector code and help customers configure and operate integrations.
• Share customer feedback with Product and Engineering, create technical documentation, and identify AI-enabled support improvements.

What they ask for

• 2+ years in software engineering, data engineering, technical support, DevOps, QA, or a similar role supporting developers or technical users.
• Fluency in SQL and proficiency in Java or Kotlin, including debugging 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 database drivers; understanding of AWS, GCP, or Azure and ELT/ETL concepts.

Nice to have

• Experience with named databases, warehouses, data lakes, or cloud object storage; familiarity with Airbyte’s Bulk CDK or open-source database connector contributions.
• Experience with Kubernetes or Docker, CI/CD, B2B SaaS support, or AI-assisted development tools and automated playbooks.

Pay

$99K – $115K USD base salary

Tools

SQL, Java, Kotlin, JDBC, AWS, GCP, Azure, Bulk CDK

AI focus

Use AI tools to resolve support issues faster, identify AI-driven automation and process improvements, and develop AI-assisted workflows, playbooks, and skills for repeatable troubleshooting.