Customer Support Developer

Airbyte

10d•Remote

About The Position

Airbyte is the open‑source standard for data movement. We've enabled data teams to move data from applications, APIs, unstructured sources and databases to data warehouses, lakes, and AI applications. With tens of thousands of connectors built and hundreds of thousands of companies adopting Airbyte, we've proven the economics of data integration at scale. And now Airbyte is building the frontier agentic data infrastructure, purpose-built for AI agents that need fast, accurate access to data across hundreds of sources. Our mission: make data available and actionable, everywhere. We've raised $181M from the world's top investors (Benchmark, Accel, Altimeter, Coatue, Y Combinator, etc.) and we believe in product-led growth, where we build something awesome that all our users love. We’ve raised enough capital to explore boldly, but we still choose to move quickly, stay scrappy, and experiment constantly as we find the right paths in an AI-native landscape. Please note that this role requires proficiency in Python. If your experience is more focused on API investigation and you have a lighter coding background, we encourage you to consider applying for our Technical Support Engineer role instead. The Role: Are you the kind of developer who gets a rush from cracking a gnarly API integration issue? Do you thrive at the intersection of writing code and helping customers succeed? As a Customer Support Developer (APIs) 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 Python, shipping contributions to our open-source connectors and CDK, building features in the Connector Builder, and directly shaping how customers integrate with hundreds of APIs. You'll champion the customer voice alongside our engineering and product teams every day, getting your hands dirty in the code.

Requirements

3+ years in technical support, developer relations, DevOps, QA, or a similar role supporting developers or technical users.
Proficiency in Python - you must be able to read, write, and debug Python code. You'll be contributing to connectors, the CDK, and automation tooling.
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, 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.
Flexibility to work Sun-Thu, Mon-Fri, or Tue-Sat shifts.

Nice To Haves

Experience with the Airbyte Connector Development Kit, Connector Builder, or building declarative YAML-based connectors.
Familiarity with Java, Kotlin, or TypeScript, and experience with CI/CD pipelines and GitHub-based open-source workflows.
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.
Experience with AI-assisted development tools and building automated playbooks or runbooks.

Responsibilities

Serve as the primary technical escalation point for API-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 REST/GraphQL APIs, connectors, data pipelines, and SaaS integrations -- not just finding workarounds but partnering with Engineering to root-cause and drive real fixes.
Reproduce customer-reported bugs by inspecting API request/response payloads, connector logs, and sync state, and document findings with enough technical detail for Engineering to act on immediately.
Support embedded platform customers through onboarding and troubleshooting, including OAuth flows, widget tokens, scoped API tokens, and connector configuration.
Get hands-on with customers building and debugging integrations, helping them navigate the Airbyte API and third-party APIs with confidence - from authentication and pagination to rate limiting, error handling, and webhooks.
Test and validate API endpoints, review request/response payloads, and guide customers through integration best practices.
Support customers with the Embedded API, covering source creation, connector template management, and widget token authentication.
Help customers building on the Airbyte Connector SDK find their footing, including YAML-based connector definitions, OpenAPI specs, and cassette-based testing workflows.
Contribute directly to Airbyte's open-source connectors and the Python Connector Development Kit (CDK) - fix bugs, improve error handling, add incremental sync support, and submit pull requests to the airbyte and airbyte-python-cdk repositories.
Build and ship features in the Connector Builder to improve the low-code/no-code experience for users creating API connectors using declarative YAML manifests.
Stay sharp on Airbyte's API surface, new connector releases, and platform updates so your guidance is always accurate and timely.
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 roadmap.
Partner with Solutions Engineering and Sales Engineering to provide white-glove technical onboarding for enterprise customers, including custom connector development, API integration architecture reviews, and production readiness assessments.
Train and mentor Technical Support Engineers on API connector concepts, including REST/GraphQL fundamentals, OAuth flows, pagination patterns, rate limiting strategies, error handling, and the Airbyte protocol (spec, discover, check, read).
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.
Create and maintain internal and external knowledge base articles, troubleshooting guides, and API documentation to support scalability.
Document research and troubleshooting processes 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.