
51 - 200 employees
Founded 2020
💼 Consulting
📦 Logistics
🤖 Artificial Intelligence
Consulting • Logistics • Artificial Intelligence
Airbyte is an open-source data integration engine designed to help organizations consolidate their data in data warehouses, lakes, and databases. With its cloud and self-managed options, Airbyte provides secure data movement for enterprises, offering hundreds of integrations, database replication, and the ability to create custom connectors quickly. It is ideal for AI and machine learning use cases, making unstructured data actionable and integrating with vector databases efficiently. Airbyte fosters a large data and AI community, encouraging collaboration and knowledge sharing to solve data movement challenges effectively.
🕒 October 16
🇨🇦 Canada – Remote
💵 CA$89k - CA$105k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
📞 Support Engineer
👻 Ghost score 0%
Where this job comes from
Posted on Airbyte's careers page, not through a job board
First seen by Remote Rocketship October 16
Still open on Airbyte's site. Checked 2 hours ago.

51 - 200 employees
Founded 2020
💼 Consulting
📦 Logistics
🤖 Artificial Intelligence
Consulting • Logistics • Artificial Intelligence
Airbyte is an open-source data integration engine designed to help organizations consolidate their data in data warehouses, lakes, and databases. With its cloud and self-managed options, Airbyte provides secure data movement for enterprises, offering hundreds of integrations, database replication, and the ability to create custom connectors quickly. It is ideal for AI and machine learning use cases, making unstructured data actionable and integrating with vector databases efficiently. Airbyte fosters a large data and AI community, encouraging collaboration and knowledge sharing to solve data movement challenges effectively.
• Respond to customers via email, ticketing systems, and occasional video calls • Triage and prioritize incoming issues while meeting SLA targets and using AI tools to resolve issues faster • Troubleshoot complex issues across APIs, connectors, data pipelines, and SaaS integrations • Partner with Engineering to identify root causes and drive fixes • Document and reproduce customer-reported bugs • Support embedded platform customers through onboarding and troubleshooting, including OAuth flows, widget tokens, scoped API tokens, and connector configuration • Help customers build and debug integrations using Airbyte and third-party APIs • Test and validate API endpoints and review request/response payloads • Support the Embedded API and Airbyte MCP, including source creation, connector template management, and widget token authentication • Support customers using the Airbyte Connector SDK, YAML connector definitions, OpenAPI specs, and cassette-based testing workflows • Stay current on APIs, connector releases, and platform updates • Represent the customer voice to Engineering and Product and advocate for feature requests • Partner with Engineering on platform feedback, connector gaps, and SDK usability issues • Partner with Sales and Customer Success on technical conversations, onboarding, and expansion efforts • Create and maintain internal and external knowledge base articles, troubleshooting guides, and API documentation • Document research and troubleshooting processes • Identify AI-driven automation and process improvements • Lead initiatives addressing organizational or support gaps and own unique projects
• 3+ years in technical support, data engineering, DevOps, QA, or a 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 both technical and non-technical stakeholders • Growth mindset and high tolerance for ambiguity • Demonstrated use of AI tools to speed up troubleshooting or automate a workflow, such as agents, MCP, or prompt and context engineering • Natural self-starter • Familiarity with Python, Java, or Kotlin; CI/CD pipelines; and GitHub • Experience with 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 databases, including CDC setups • Ability to work remotely from Canada, 8am–5pm Eastern Time
• Flexible PTO with a culture that encourages at least 25 days off annually • 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 • Retirement savings – a group retirement savings plan • Canada/Québec Pension Plan, Employment Insurance and workers' compensation coverage • Professional development budget • Conference sponsorship • Book reimbursement • Generous equity package
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