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Senior Software Engineer, Integrations – API Sources, Automation
AirbyteIntegrations Engineer building AI-assisted integrations at Airbyte. Responsible for designing robust systems for data replication and agent use cases in a collaborative environment.
Posted 6/29/2026full-timeSan Francisco • California • 🇺🇸 United StatesSenior💰 $196,000 - $255,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and evolving Python systems for integrations, with a strong focus on automation, operational resilience, and developer tooling. Proven ability to lead technical initiatives, mentor engineers, and enhance engineering velocity through innovative solutions.
Highest-signal resume keywords
Python Backend DevelopmentAI Integration ExperienceSystems ThinkingAutomation and Platform InvestmentsMentoring and Technical Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
PythonAPI DesignAutomation SystemsExtensible FrameworksDebugging Complex SystemsOperational ReliabilityAI APIsIntegration DevelopmentDeveloper ToolingContinuous Improvement
Soft Skills
Strong CommunicationCollaboration Across TeamsMentoring EngineersTechnical InfluenceBias Toward Shipping
Industry Keywords
Data ReplicationSelf-Healing InfrastructureOperational ResilienceTechnical InitiativesCustomer Engineering
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- 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
What you’ll need- 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.
Benefits
Comp & perks- Flexible PTO with a culture that encourages at least 25 days off annually
- 16 weeks fully paid parental leave for all parents
- Comprehensive medical, dental, and vision coverage for employees and dependents
- 401(k) retirement plan
- Professional development budget, conference sponsorship, and book reimbursement
- Commuter benefits and monthly internet reimbursement
- Breakfast and lunch in our San Francisco office
- A collaborative, in-person culture focused on learning, growth, and impact