Airbyte
Technology
SeniorIntegrationsEngineer(APISources&Automation)
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Integrations Engineer (API Sources & Automation) at Airbyte. Skills: Integrations Engineering, API Sources, Automation, AI-native platform. Build Python systems. Evolve Python systems”
Industry & Context.
Systems thinking; Debugging skills; Root cause analysis
What They're Looking For.
Must Have
5+ years backend systems Python, 5+ years developer tooling Python, Design extensible frameworks, Design APIs, Design automation systems, Design platforms for engineers, Leverage AI/LLM APIs, Independently drive technical initiatives, Make tradeoff decisions, Systems thinking, Debugging skills, Improve engineering velocity, Improve operational reliability, Communication skills, Collaborate effectively, Mentor engineers, Influence technical direction, Bias toward shipping, Bias toward iteration, Bias toward experimentation, Bias toward continuous improvement, Passion for developer experience, Build tools for engineers, Own outcomes end-to-end
Nice to Have
Experience with data integration systems, Experience with ETL/ELT pipelines, Experience with APIs, Experience with connector frameworks, Familiarity with Airbyte CDKs, Familiarity with Connector Builder, Familiarity with MCP servers, Familiarity with agent tooling, Familiarity with low-code platforms, Experience building AI agents, Experience building operational automation, Experience building self-healing infrastructure, Contribute to open source projects, Maintain open source projects, Familiarity with rollout strategies, Familiarity with progressive deployments, Familiarity with compatibility migrations, Familiarity with automated remediation, Experience with large-scale API ecosystems, Handle schema evolution, Handle rate limiting, Handle unreliable upstream systems
What You'll Do.
Evolve Python systems
Build systems using AI
Detect connector failures
Diagnose connector failures
Remediate connector failures
Enable engineers to build integrations
Enable engineers to roll out integrations
Enable engineers to monitor integrations
Partner with Customer Engineering
Partner with Support teams
Identify operational issues
Eliminate operational issues
Lead ambiguous projects
Balance maintainability
Raise technical standards
Shape engineering direction
How You'll Work.
Team & Collaboration
Customer Engineering; Support teams; Engineering; Product; Support; Customer-facing teams
Process & Methodology
Technical initiatives
Full Job Description
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. THE ROLE: At Airbyte, connectors are the product. Every sync, every AI workflow, and every customer use case depends on our ability to reliably integrate with APIs, databases, filesystems, and SaaS platforms at massive scale. We’re looking for an Integrations Engineer to help build the future of AI-assisted integrations at Airbyte. This role spans both Airbyte Data Replication and Airbyte Agents, our AI-native platform that gives agents reliable, real-time access to business data through managed connectors, secure credential handling, a searchable Context Store, and agent-facing interfaces including APIs, MCP, SDKs, CLI tooling, and the web application. You’ll work primarily in Python across our CDKs, Connector Builder ecosystem, automation frameworks, rollout systems, and AI-driven operational tooling. This is a highly autonomous role for an engineer who thrives in ambiguous environments, exercises strong technical judgment, and wants to shape how AI changes software development and operational reliability. You’ll
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