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Senior Software Engineer, Integrations; API Sources & Automation - Sprint

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Airbyte
Full Time position
Listed on 2026-07-04
Job specializations:
  • Software Development
    Backend Developer, AI Engineer (Applied/Software), Cloud Engineer - Software, Python
Salary/Wage Range or Industry Benchmark: 130000 - 160000 USD Yearly USD 130000.00 160000.00 YEAR
Job Description & How to Apply Below
Position: Senior Software Engineer, Integrations (API Sources & Automation) - Hiring Sprint

Airbyte is the data and action layer for AI agents. We give agents fast, accurate, authenticated access to business data across hundreds of sources, so they can discover the entities that matter, reason over real-time context, and take action in the systems they read from, not just observe them.

We started as the open-source standard for data movement and proved the economics of data integration at scale: hundreds of connectors, thousands of companies, and, since 2020, have raised $181M from leading investors including Benchmark, Accel, Altimeter, Coatue, and Y Combinator. As our CEO Michel Tricot puts it, "the last ten years were all about structured data. The future is all about context."

We're now building that context infrastructure for production-grade agents on the same open foundation, as agents become the primary consumers of enterprise data.

Our mission is unchanged: make data available and actionable to everyone, everywhere. That everyone now includes AI agents.

Engineering Hiring Sprint:

We're growing our engineering team and are accelerating hiring through a focused Engineering Hiring Sprint. Rather than stretching interviews over several weeks, we're bringing exceptional candidates through an expedited process and making hiring decisions quickly.

Interview process:

  • Apply
  • Technical Take-Home (Java or Python)
  • Hiring Manager Interview
  • In-Person Onsite (the week of July 20)
  • Hiring decision by the end of the week
  • We're hiring across multiple engineering teams, including:

    • Platform Engineers
    • Database Engineers
    • Site Reliability Engineers
    • Extensibility API Engineers
    • AI Agents Engineers
    • Engineering Managers

    If you enjoy solving complex technical problems, moving quickly, embracing AI, and taking ownership of your work, we'd love to meet you.

    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, file systems, and SaaS platforms at massive scale.

    We’re looking for an Integrations Engineer to help build the future of AI-assisted integrations s 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 help drive Airbyte toward a future where connectors increasingly maintain themselves through intelligent automation, adaptive rollouts, and AI-assisted remediation.

    What You’ll Do:
    • Build and evolve the Python systems that power integrations across both Airbyte Data Replication and Airbyte Agents.
    • Work on integrations that power both traditional data movement workflows and AI agent use cases, including searchable context, action execution, and real-time business data access.
    • Build systems that use AI to detect, diagnose, and remediate connector failures with minimal human intervention.
    • Design tooling and abstractions that enable Airbyte engineers to build, roll out, and monitor integrations faster and more reliably.
    • Drive initiatives focused on self-healing infrastructure, intelligent retries, automated compatibility fixes, and operational resilience.
    • Partner closely with Customer Engineering and Support teams to identify recurring operational issues and eliminate them systematically through automation and platform improvements.
    • Lead technically ambiguous projects from exploration through production rollout while balancing speed, reliability, and long-term maintainability.
    • Mentor engineers, raise technical standards, and help shape engineering direction across the integrations ecosystem.
    What You’ll Need:
    • 5+ years professional experience building backend systems and developer tooling…
    Position Requirements
    10+ Years work experience
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