Airbyte

Platform Engineer

• Improve and scale cloud data replication and job lifecycle systems as Airbyte Cloud grows.
• Automate platform operations across OSS, Enterprise, and Cloud: deployment validation, release qualification, environment testing.
• Build high-leverage internal tooling that helps the team ship connector and CDK changes faster.
• Develop AI-powered tooling for connector generation and incident response.
• Improve observability and debugging tools for both Airbyte engineers and customers.
• Collaborate across platform and cloud infrastructure on cross-cutting technical decisions.
• Mentor engineers through design reviews, pairing and technical feedback.

Senior Software Engineer, Platform

• Design and build applications that power Airbyte's engineering platform and product surfaces.
• Develop internal dashboards for deployments, infrastructure health, connector operations, and platform performance.
• Build and improve user-facing features in Airbyte Cloud and Flex, working closely with product and design.
• Create self-service tools that enable engineers to provision infrastructure, manage services, and troubleshoot production systems.
• Build modern React and TypeScript applications backed by scalable backend services.
• Design APIs and services that support both internal engineering workflows and customer-facing product features.
• Collaborate with Platform Engineers, SREs, Product Engineering, Product Managers, and Designers to ship high-quality software.
• Improve the usability and reliability of the systems that power Airbyte's products, for both internal and external users.
• Build tooling that automates repetitive engineering work and reduces friction across the org.
• Improve release workflows, deployment visibility, and operational dashboards.
• Contribute to the quality of user-facing product surfaces: performance, accessibility, and reliability.
• Help establish engineering standards and reusable platform components.
• Build interfaces that improve observability, incident response, and production operations.
• Create tools that help engineers and customers understand system health, deployment status, and service reliability.
• Improve visibility into platform performance through dashboards, metrics, and reporting.
• Continuously identify opportunities to reduce operational toil through automation.
• Mentor engineers through design reviews, architecture discussions, and technical leadership.
• Raise the quality bar for frontend architecture, testing, accessibility, and maintainability.
• Contribute to platform-wide engineering standards and best practices.
• Help shape the future of Airbyte's platform and product engineering.

Senior Software Engineer, Platform Fullstack

QA Automation Engineer

• 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.

Senior Software Engineer, Integrations – API Sources, Automation

Solutions Engineer

• Build and evolve Airbyte's AI-powered Integration Factory.
• Design intelligent systems that generate, validate, repair, and maintain connectors automatically.
• Develop shared tooling, frameworks, GitHub Actions, scheduled workflows, and internal developer platforms used across hundreds of integrations.
• Build highly reliable database connectors with deep support for database-specific capabilities including Change Data Capture (CDC), replication logs, query optimization, and schema evolution.
• Improve connector reliability by building systems that automatically detect, diagnose, and remediate production issues.
• Build infrastructure that manages dependency updates, compatibility testing, release automation, and connector health.
• Contribute to Airbyte's growing AI Skills repository and help establish patterns for AI-assisted software development.
• Drive step-function improvements in engineering velocity through automation and reusable tooling.
• Participate in an on-call rotation, responding to production issues while continually improving the systems that reduce operational burden.
• Collaborate across engineering to improve internal developer experience and platform capabilities.
• Mentor engineers and raise the engineering bar through thoughtful design reviews, documentation, and technical leadership.

Senior Software Engineer, Integrations – Databases

Full-stack Engineer

• Build the AI Runtime
• Design and implement the orchestration layer that turns natural-language intent into reliable execution.
• Build systems for entity resolution, context assembly, connector orchestration, and evidence retrieval.
• Develop reusable Skills that encapsulate business workflows and domain expertise.
• Build routing systems that intelligently coordinate connectors, tools, deterministic logic, and multiple language models.
• Build Products Users Trust
• Own features end-to-end, from runtime capability to user-facing experience.
• Develop evidence-backed reasoning with citations and traceability that users can actually see and verify.
• Build evaluation frameworks that continuously improve quality.
• Implement permission models, freshness validation, and action policies that work transparently for end users.
• Ship and Iterate
• Build prototypes, validate ideas, and rapidly iterate with customers.
• Write high-leverage code that enables entire product areas.
• Collaborate closely with Product, Design, Sales Engineering, and Customer Success to turn ambitious ideas into production systems.
• Experiment with new agent architectures while maintaining production-grade reliability.

Senior Software Engineer, Platform

Senior Software Engineer, Platform Fullstack

Senior Software Engineer, Integrations – API Sources, Automation

Senior Software Engineer, Integrations – Databases

Senior Software Engineer, Agents