Posted 7 days ago
Customer Support Developer (Databases)
@ Airbyte
Remote in Canada
Overview
Airbyte is hiring a full-time Customer Support Developer (Databases) to serve as the primary technical escalation point for database-related customer issues. The role combines Java and Kotlin connector development with troubleshooting across databases, warehouses and lakes. The position is remote within Canada.
Pay:
$101,000–$110,000 a year
Responsibilities:
- Serve as technical escalation point for database customer issues
- Reproduce bugs using logs, query plans and transaction logs
- Contribute code to open-source database connectors and Bulk CDK
- Support customers with CDC setup, SSH tunnels and warehouse authentication
- Mentor Technical Support Engineers and create knowledge base content
Requirements summary:
- 2+ years in software engineering, data engineering or technical support
- Fluency in SQL and query plan analysis
- Proficiency in Java or Kotlin
- Hands-on experience with databases, warehouses or data lakes and CDC
- Experience with JDBC and debugging connection, SSL and SSH issues
Tools & skills
Benefits mentioned
Source and dates
Employer career site / ATS feed · ashby
- Employer posting date
- 2026-10-30
- First seen by our source
- 2026-10-08
- Source record updated
- 2026-10-30
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Mid level |
| Department | Customer service |
| Experience | 2+ years |
| Hours per week | 40 (estimated) |
| Travel | air: none · ground: none |
| Work setting | Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Perks mentioned | Generous paid time off, Flexible hours, Retirement plan |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Airbyte
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
The context layer for production-grade AI agents.
Full company description
Founded in 2020, Airbyte is the context layer for production-grade AI agents. AI agents fail in production for one reason: they can't see the business. They make scattered API calls at runtime, burn tokens reconciling fragmented data, and break under real workloads. Airbyte solves this by giving agents unified, permission-aware access to the operational data scattered across the tools companies actually run on (CRM, billing, support, product, internal systems) through a hybrid architecture that combines large-scale replication (for cross-system search and discovery) with real-time fetching (for fresh operational state). It's the combination production agents actually need, built on the connector footprint we've hardened over six years. We've raised $181M from Benchmark, Accel, Altimeter, Coatue, Y Combinator, and others. Today, 25,000+ companies sync data with Airbyte's 600+ connectors. Open source remains core to how we build, because the data foundation under your AI agents is too important to be a black box.
- LinkedIn followers
- 38,851
- People associated on LinkedIn
- 110
- Reported office locations
- San Francisco, US
- Business categories
- Data Integration
- Warehousing
- Information Technology
- Productivity Tools
- Generative AI
- Supply Chain Management
- Analytics
- Artificial Intelligence (AI)
- Open Source
- Other recorded names
- Airbyte
- Specialties
- data engineering
- data integration
- ETL
- ELT
- and open source
- Profile identifies a recruitment agency
- No
- Reported total investment
- 181,200,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Founded in 2020, Airbyte is the context layer for production-grade AI agents. AI agents fail in production for one reason: they can't see the business. They make scattered API calls at runtime, burn tokens reconciling fragmented data, and break under real workloads. Airbyte solves this by giving agents unified, permission-aware access to the operational data scattered across the tools companies actually run on…
| Field | Value |
|---|---|
| Industry | Software Development |
| Company size | 51-200 employees |
| Headquarters | San Francisco |
| Organization type | Privately Held |
| Year founded | 2020 |
| Specialties | data engineeringdata integrationETLELTand open source |
| Open jobs on Jobsy | 3 |
| View page |
About Airbyte:
We’re on a mission to make data available and actionable to everyone, everywhere. With 700+ connectors, our platform powers analytics and gives AI agents the business context they need to do real work. More than 25,000 companies, including 20% of the Fortune 500, rely on Airbyte to put their data to work.
We’re built on open source because we believe companies should have full control over their data. A community of 27K members helps shape what we build, and we’re backed by $181M from investors including Benchmark, Accel, Altimeter, Coatue, and Y Combinator.
Models keep getting better. What holds AI back is the data informing and shaping its decisions, and that's the layer we're building.
We’re just getting started. If you’re excited by big challenges, meaningful ownership, and the chance to help build what’s next, we’d love to meet you.
The Role:
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? As a Customer Support Developer (Databases) at Airbyte, you'll combine hands-on development skills with deep technical empathy to support our growing cloud, embedded, and open-source integration platform.
This isn't a traditional support role. You'll be writing Java and Kotlin, shipping contributions to our open-source database source and destination connectors, digging into query plans and transaction logs, and directly shaping how customers move mission-critical data between databases, warehouses, and lakes. You'll champion the customer voice alongside our engineering and product teams every day, getting your hands dirty in the code.
What You’ll Do:
Customer Support & Technical Troubleshooting
Serve as the primary technical escalation point for database-related customer issues, responding via email, ticketing systems, and video calls with precision and clarity.
Triage and prioritize incoming issues with urgency, consistently meeting SLA targets while leveraging AI tools to work smarter and resolve issues faster.
Dig 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 fixes.
Reproduce 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 immediately.
Support customers through onboarding and troubleshooting for SSH tunnels, network configuration, database user permissions, CDC setup (WAL/binlog/redo logs), and warehouse/lake authentication.
Database Connector Development
Get 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 tables.
Validate database version compatibility across supported engines and releases, maintain testing environments, and reproduce customer-reported behavior on real database and warehouse instances.
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), including schema evolution and typed-columns behavior.
Help 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 recovery.
Contribute 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 repository.
Review and test community contributions to database sources and destinations, helping external contributors land high-quality changes.
Stay sharp on Airbyte's connector catalog, new database and destination releases, and platform updates so your guidance is always accurate and timely.
Cross-Functional Collaboration & Enablement
Be 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 roadmap.
Partner 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 assessments.
Train 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 customers.
Knowledge, Process Improvement, & AI
Create and maintain internal and external knowledge base articles, troubleshooting guides, and database connector documentation to support scalability.
Document research and troubleshooting processes,( including CDC debugging, destination schema reconciliation, and performance tuning runbooks), to aid faster ticket resolution and team knowledge sharing.
Identify AI-driven opportunities for automation and process improvements that reduce support load and improve the customer experience.
Embrace 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 automation.
Spearhead initiatives to fill organizational or support gaps and take ownership of unique projects.
What You’ll Need:
2+ years in software engineering, data engineering, technical support, DevOps, QA, or a similar role supporting developers or technical users.
Fluency in SQL, with hands-on experience investigating query plans, isolation levels, and performance bottlenecks.
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.
Hands-on experience with relational databases, data warehouses, or data lakes, including concepts like CDC (Change Data Capture), 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, clear communication with both technical and non-technical stakeholders, and a growth mindset that keeps you improving even when things get hard.
High tolerance for ambiguity and a natural self-starter.
Nice To Have:
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).
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.
Location:
Remote in Canada
Why You'll Love Working at Airbyte:
At Airbyte, we believe great work happens when people feel supported, trusted, and empowered to grow. Our market-leading Total Rewards package is designed to help you thrive professionally and personally. Our benefits and perks include:
Flexible PTO with a culture that encourages at least 25 days off annually, and public holidays in line with provincial employment standards
Comprehensive health coverage – extended health benefits on top of provincial public healthcare
Virtual healthcare – access to doctors and other care providers online, so you can get care without waiting
Retirement savings – a group retirement savings plan to help you build for the future
Statutory protections – Canada/Québec Pension Plan, Employment Insurance and workers' compensation coverage
Professional development budget, conference sponsorship, and book reimbursement
If you find this role exciting, we encourage you to apply even if you think you don’t meet all of the requirements!
We are not accepting agency submissions or recruiting firm support for this role. Unsolicited resumes will not be considered.
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