Senior Software Engineer, Platform - Hiring Sprint

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:

1. Apply

2. Technical Take-Home (Java or Python)

3. Hiring Manager Interview

4. In-Person Onsite (the week of July 20)

5. 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.

The Role:

You'll be a Software Engineer on the Data Replication team - a full-stack product team running over 3 million sync jobs a week across multiple regions and clouds.

Your focus: the Control and Data Plane systems that handle configuration, job lifecycle, and load scaling, plus Destinations, the strategic integrations Airbyte writes to. You'll occasionally go deep into infrastructure when the problem demands it.

We expect engineers here to actively use AI as a force multiplier - agentic tools to automate toil, augment incident response, and build smarter internal tooling. Newer to this? We’ll work with you to build fluency fast. We care as much about how you work as what you build. Trust, directness, and craftsmanship matter here.

What You’ll Do:

• 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.

What You’ll Need:

• 7+ years of engineering experience (backend, platform, or distributed systems) with strong proficiency in JVM/Kotlin.

• Hands-on experience building/operating large scale distributed systems.

• Familiarity with orchestration frameworks (e.g. Temporal-style workflows).

• Experience running services using Kubernetes using Helm on major cloud providers.

• Systems-level thinking with an emphasis on performance, reliability, cost, and scalability.

• Comfortable with ambiguity, moving fast, and owning problems end-to-end.

Nice To Have:

• Experience with open-source platforms, especially in data integration or infrastructure tooling.

• Familiarity with Airbyte, CDKs, or connector-based architectures.

• Background in control plane / data plane architectures or internal developer platforms.

• Experience with AI/agent tooling frameworks (LangChain, Pydantic AI, or similar).

Location:

• Onsite 4 days/week in San Francisco, CA

Why You'll