Senior Integrations Engineer (API Sources & Automation)

About the Role

The integrations team at Airbyte is responsible for building and maintaining the connectors that power data movement workflows and AI agent use cases. As a Senior Integrations Engineer, you will work closely with the Customer Engineering and Support teams to identify recurring operational issues and eliminate them systematically through automation and platform improvements.

Airbyte is committed to product-led growth, and as a Senior Integrations Engineer, you will play a critical role in shaping the future of AI-assisted integrations. You will have the opportunity to work on high-impact projects, collaborate with cross-functional teams, and contribute to the development of Airbyte's AI-native platform.

What You Will 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
• Design and implement AI-assisted systems that detect, diagnose, and remediate connector failures with minimal human intervention
• Build 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
• Collaborate with cross-functional teams to develop and implement new features and functionality

What We Are Looking For

• 5+ years of 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, tooling, and process improvements
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
• Experience with agile development methodologies and version control systems such as Git
• Strong understanding of data integration concepts and technologies

Nice to Have

• Experience with cloud-based data integration platforms and technologies
• Knowledge of machine learning and deep learning concepts and techniques
• Experience with containerization and orchestration technologies such as Docker and Kubernetes
• Familiarity with DevOps practices and tools such as Jenkins, CircleCI, and GitLab CI/CD
• Experience with security and compliance frameworks and regulations such as GDPR and HIPAA

Benefits and Perks

• Competitive salary and equity package
• Comprehensive health, dental, and vision insurance
• Flexible PTO and remote work arrangements
• Professional development opportunities and conference sponsorships
• Access to the latest technologies and tools
• Collaborative and dynamic work environment
• Recognition and reward programs for outstanding performance
• Employee resource groups and diversity initiatives
• Charitable donation matching program
• Wellness and mental health programs

• Tip: Showcase your expertise in Python, AI, and automation by highlighting specific projects or experiences in your resume and cover letter.
• Tip: Be prepared to demonstrate your problem-solving skills and ability to work independently in an ambiguous environment during the interview process.
• Tip: Research Airbyte's products and services, as well as the current state of the data integration market, to demonstrate your interest and knowledge of the industry.
• Tip: Use your portfolio or GitHub repository to showcase your coding skills and experience with relevant technologies such as Python, Docker, and Kubernetes.
• Tip: Don't be afraid to ask questions during the interview process, such as what the typical career path is for a Senior Integrations Engineer at Airbyte or what opportunities there are for professional development and growth.
• Tip: Highlight your experience with agile development methodologies and version control systems such as Git, as well as your ability to work effectively with cross-functional teams.
• Tip: Be prepared to discuss your experience with security and compliance frameworks and regulations such as GDPR and HIPAA, as well as your knowledge of data integration concepts and technologies.