Senior Software Engineer, Integrations (API Sources & Automation)

Jobtailor; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

Airbyte is seeking a seasoned backend engineer to evolve Python systems powering integrations across Airbyte Data Replication and Airbyte Agents.

You will work on AI-enabled integrations, including searchable context, action execution, and real-time business data access, while driving reliability and automation. The role emphasizes leadership, mentorship, and cross-functional collaboration to ship robust, scalable solutions.

Qualifications

• 5+ years of backend experience building Python systems and developer tooling.
• Experience designing extensible frameworks, APIs, automation systems, or platforms used by engineers.
• Experience leveraging AI or LLM APIs in engineering workflows or product experiences.
• Ability to independently drive large or ambiguous technical initiatives with business context.
• Strong systems thinking and debugging across distributed/integration-heavy environments.
• Experience boosting engineering velocity and reliability via automation and platform investments.
• Strong communication and cross-functional collaboration skills.
• Mentoring engineers and influencing technical direction beyond your team.

Responsibilities

• Build and evolve Python systems powering integrations across Airbyte Data Replication and Airbyte Agents.
• Develop integrations for traditional data movement and AI agent use cases, including searchable context and real-time data access.
• Create AI-enabled tooling to detect, diagnose, and remediate connector failures with minimal intervention.
• Design tooling that enables engineers to build, roll out, and monitor integrations faster and more reliably.
• Drive self-healing infrastructure, intelligent retries, automatic compatibility fixes, and operational resilience.
• Partner with Customer Engineering and Support to eliminate recurring issues through automation and platform improvements.
• Lead ambiguous projects from exploration to production while balancing speed, reliability, and maintainability.
• Mentor engineers and raise technical standards across the integrations ecosystem.

Skills

Python backend

Framework design

AI/LLM integration

Systems thinking

Collaboration

Mentoring

Shipping mentality

Operational reliability

Job description

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.

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 trade‑off 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.