Technical Support Engineer

Airbyte is the data and action layer for AI agents, providing fast, accurate, authenticated access to business data across hundreds of sources. Started as the open-source standard for data movement, Airbyte has raised $181M from leading investors including Benchmark, Accel, Altimeter, Coatue, and Y Combinator.

As a Technical Support Engineer, you will support Airbyte's growing cloud and embedded integration platform, combining deep technical expertise with customer empathy. You will influence product evolution by championing the customer voice with engineering and product teams.

• Respond to customer inquiries via email, ticketing systems, and occasional video calls, triaging and prioritizing issues to meet SLA targets.
• Diagnose complex issues across APIs, connectors, data pipelines, and SaaS integrations, partnering with Engineering to drive root-cause fixes.
• Support embedded platform customers through onboarding and troubleshooting, including OAuth flows, widget tokens, scoped API tokens, and connector configuration.
• Help customers navigate the Airbyte API and third-party APIs, covering authentication, pagination, rate limiting, error handling, and webhooks.
• Support customers with the Embedded API and Airbyte MCP, including source creation, connector template management, and widget token authentication.
• Assist customers building on the Airbyte Connector SDK, including YAML-based connector definitions, OpenAPI specs, and cassette-based testing workflows.
• Collaborate with Engineering, Product, Sales, and Customer Success to relay feedback and support expansion efforts.
• Create and maintain knowledge base articles, troubleshooting guides, and API documentation.
• Identify automation and process improvements using AI tools.

• 3+ years in technical support, data engineering, DevOps, QA, or similar role supporting developers or technical users.
• Hands-on experience with RESTful APIs and GraphQL, including OAuth, pagination, webhooks, rate limiting, and error handling.
• Proficiency with API testing tools like Postman or cURL.
• Understanding of cloud platforms (AWS, GCP, or Azure) and data integration concepts including ELT/ETL workflows.
• Strong troubleshooting instincts and clear communication with technical and non-technical stakeholders.
• Demonstrated use of AI tools to speed up troubleshooting or automate workflows, such as agents, MCP, or prompt and context engineering.
• High tolerance for ambiguity and a natural self-starter.

• Familiarity with Python, Java, or Kotlin and experience with CI/CD pipelines and GitHub.
• 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.
• Familiarity with OpenAPI specs, YAML configuration, and Jinja expressions.
• Experience with SQL and working knowledge of databases, including CDC setups.

Salary CAD $89,000 - $105,000 base salary plus a generous equity package. Benefits include flexible PTO with at least 25 days off annually, public holidays, comprehensive health coverage, virtual healthcare, retirement savings plan, statutory protections, and professional development budget.

Remote, Canada. 8am–5pm Eastern Time.