Senior Software Engineer, Platform Fullstack - Hiring Sprint

About the role

Every great product is built on a great platform. At Airbyte, the Platform team builds the systems that power every product we ship, including Airbyte Cloud, Airbyte Flex, and Airbyte Agents. We create the infrastructure, internal tooling, developer platforms, and user-facing product surfaces that allow engineers to build quickly, deploy safely, and operate reliably at scale. Our work spans cloud infrastructure, deployment automation, observability, engineering productivity, and the product experiences that our customers and engineers rely on every day. As a Senior Fullstack Engineer on Platform, you'll work across the full stack to build both the internal tools that accelerate engineering and the user-facing features that customers interact with directly. You'll move fluidly between building an internal deployment dashboard and shipping a product feature in Airbyte Cloud. This role is ideal for engineers who care about craft across the entire stack, whether the user is an internal engineer or an external customer, and who believe great platform work makes everything around it better.

Responsibilities

• Build Internal Platform Products
• 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 Across the Stack
• 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.
• Improve Developer Experience
• 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.
• Drive Operational Excellence
• 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.
• Technical Leadership
• 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 A

Benefits

Additional Information

Airbyte is the data and action layer for AI agents. We give agents fast, accurate, authenticated access to business data across hundreds of sources, so they can discover the entities that matter, reason over real-time context, and take action in the systems they read from, not just observe them. We started as the open-source standard for data movement and proved the economics of data integration at scale: hundreds of connectors, thousands of companies, and, since 2020, have raised $181M from leading investors including Benchmark, Accel, Altimeter, Coatue, and Y Combinator. As our CEO Michel Tricot puts it, "the last ten years were all about structured data. The future is all about context." We're now building that context infrastructure for production-grade agents on the same open foundation, as agents become the primary consumers of enterprise data. Our mission is unchanged: make data available and actionable to everyone, everywhere. That everyone now includes AI agents. Engineering Hiring Sprint: We're growing our engineering team and are accelerating hiring through a focused Engineering Hiring Sprint. Rather than stretching interviews over several weeks, we're bringing exceptional candidates through an expedited process and making hiring decisions quickly. Interview process: Apply Technical Take-Home (Java or Python) Hiring Manager Interview In-Person Onsite (the week of July 20) Hiring decision by the end of the week We're hiring across multiple engineering teams, including: ⚙️ Platform Engineers 🗄️ Database Engineers ☁️ Site Reliability Engineers 🔌 Extensibility API Engineers 🤖 AI Agents Engineers 👤 Engineering Managers If you enjoy solving complex technical problems, moving quickly, embracing AI, and taking ownership of your work, we'd love to meet you.

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