Senior Integrations Engineer (API Sources & Automation)
About The Position
Airbyte is the open-source standard for data movement, enabling data teams to move data from various sources to data warehouses, lakes, and AI applications. With a strong adoption and proven economics in data integration, Airbyte is now building the frontier agentic data infrastructure for AI agents. The company has raised significant funding and operates with a product-led growth mindset, emphasizing speed, scrappiness, and constant experimentation in the AI-native landscape. This role focuses on building the future of AI-assisted integrations at Airbyte, spanning both Airbyte Data Replication and Airbyte Agents. Connectors are central to Airbyte's product, powering every sync, AI workflow, and customer use case. The Integrations Engineer will work primarily in Python, contributing to CDKs, the Connector Builder ecosystem, automation frameworks, rollout systems, and AI-driven operational tooling. This is a highly autonomous position for an engineer who thrives in ambiguity, possesses strong technical judgment, and aims to influence the impact of AI on software development and operational reliability. The goal is to drive Airbyte towards a future where connectors are increasingly self-maintaining through intelligent automation, adaptive rollouts, and AI-assisted remediation.
Requirements
- 5+ years professional experience building backend systems and developer tooling in Python.
- Experience designing extensible frameworks, APIs, automation systems, or platforms used by other engineers.
- Experience leveraging AI or LLM APIs in engineering workflows, developer tooling, operational systems, or product experiences.
- Ability to independently drive large or ambiguous technical initiatives and make strong tradeoff decisions with business context in mind.
- Strong systems thinking and debugging skills across complex distributed or integration-heavy environments.
- Experience improving engineering velocity and operational reliability through automation and platform investments.
- Strong communication skills and the ability to collaborate effectively across engineering, product, support, and customer-facing teams.
- Experience mentoring engineers and influencing technical direction beyond your immediate team.
- A strong bias toward shipping, iteration, experimentation, and continuous improvement.
- Passion for developer experience and building tools that make other engineers dramatically more effective.
- Belief in our values and a willingness to own outcomes end-to-end.
Nice To Haves
- Experience working with data integration systems, ETL/ELT pipelines, APIs, or connector frameworks.
- Familiarity with Airbyte CDKs, Connector Builder, MCP servers, agent tooling, or low-code integration platforms.
- Experience building AI agents, operational automation systems, or self-healing infrastructure.
- Experience contributing to or maintaining open source projects.
- Familiarity with rollout strategies, progressive deployments, compatibility migrations, or automated remediation systems.
- Experience working with large-scale API ecosystems and handling schema evolution, rate limiting, or unreliable upstream systems.
Responsibilities
- 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.
Benefits
- Equal opportunity employer
- Considers qualified applicants with arrest and conviction records
- Commitment to providing reasonable accommodations for qualified individuals with disabilities
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
