Senior Software Engineer, Platform - Hiring Sprint
About The Position
Airbyte is the data and action layer for AI agents, providing them with fast, accurate, and authenticated access to business data across hundreds of sources. The company has a strong foundation in open-source data integration, having raised significant funding from prominent investors. Airbyte is now building context infrastructure for production-grade agents, aiming to make data available and actionable to everyone, including AI agents. This role is part of an Engineering Hiring Sprint, an expedited process to quickly bring exceptional candidates through an accelerated hiring procedure. The company is hiring across multiple engineering teams, including Platform, Database, Site Reliability, Extensibility API, AI Agents, and Engineering Managers. The ideal candidate enjoys solving complex technical problems, moves quickly, embraces AI, and takes ownership of their work. The role is for a Software Engineer on the Data Replication team, a full-stack product team responsible for over 3 million sync jobs weekly across multiple regions and clouds. The focus will be on the Control and Data Plane systems, managing configuration, job lifecycle, and load scaling, as well as Destinations, which are strategic integrations Airbyte develops. The role may also involve deep dives into infrastructure when necessary. Engineers are expected to leverage AI as a force multiplier for automating tasks, augmenting incident response, and building smarter internal tooling. Airbyte values how engineers work, emphasizing trust, directness, and craftsmanship.
Requirements
- 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 Haves
- 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).
Responsibilities
- 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.
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
