Customer Support Developer

Role overview

Customer Support Developer at Airbyte (fully remote). You’ll combine software/data engineering skills with customer-facing technical support, acting as the primary escalation point for database-related issues while contributing to Airbyte’s open-source connectors.

Key missions

• Primary technical escalation point for database-related customer issues, handling cases via email, ticketing systems, and video calls with clear, precise communication.
• Hands-on support: help customers build, debug, and troubleshoot integrations, guiding them through Airbyte database sources and destinations.
• Contribute to open-source: fix bugs and improve error handling, harden schema-evolution and CDC paths, and submit pull requests to Airbyte’s repository.
• Work with engineering and product teams to resolve issues and improve the platform/connectors.

Responsibilities

• Investigate database issues, including query performance and behavior.
• Debug JVM-based connector code and integration flows.
• Support and improve the Java/Kotlin Bulk CDK and automation/tooling used by customers.

Requirements

• SQL fluency, including hands-on experience with query plans, isolation levels, and performance bottlenecks.
• Hands-on experience with relational databases / warehouses / data lakes, including CDC (Change Data Capture), schema evolution, and query optimization.
• Java or Kotlin proficiency; ability to read, write, and debug JVM-based connector code.
• Comfort with JDBC and database drivers, including debugging connection, authentication, SSL, and SSH tunnel issues.
• Understanding of cloud platforms (AWS, GCP, or Azure) and ELT/ETL data integration concepts.
• 2+ years in software engineering, data engineering, technical support, DevOps, QA, or a similar role supporting technical users.
• Strong troubleshooting and communication skills for technical and non-technical stakeholders.
• Ability to handle ambiguity and operate as a self-starter.
• Flexibility to work Sun–Thu, Mon–Fri, or Tue–Sat shifts.

Nice-to-haves / additional skills

• Experience with data lakes and open table formats such as Iceberg and Delta Lake, and object storage (S3, GCS, Azure Blob).
• Experience with Kubernetes or Docker and multi-tenant architectures.
• Experience across databases/warehouses (e.g., PostgreSQL, MySQL, MSSQL, Oracle, MongoDB, Snowflake, BigQuery, Redshift, ClickHouse, or similar).
• CI/CD and GitHub-based open-source workflows.
• Experience with AI-assisted development tools and building runbooks/playbooks.
• Familiarity with Airbyte Bulk CDK and/or contributions to database connector open source.

Location / work model

• Full remote.