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Airbyte

120 Total Employees
Year Founded: 2020

Jobs at Airbyte

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Recently posted jobs

2 Months AgoSaved
Hybrid
San Francisco, CA, USA
Artificial Intelligence • Big Data • Software
Own and improve infrastructure for the Data Replication platform: Kubernetes, CI/CD, secrets, networking, cloud (AWS/GCP). Drive reliability, observability, AI-augmented tooling, canary rollouts, incident reduction, runbooks, and partner with product engineers.
2 Months AgoSaved
Hybrid
San Francisco, CA, USA
Artificial Intelligence • Big Data • Software
Build internal platform products and user-facing features across the full stack using React/TypeScript and scalable backend services. Create developer tools, deployment dashboards, observability and automation to improve developer experience, reliability, and operations. Collaborate with SREs, product, and design; mentor engineers and drive platform engineering standards.
2 Months AgoSaved
Hybrid
San Francisco, CA, USA
Artificial Intelligence • Big Data • Software
Lead and grow a Platform engineering team owning cloud infrastructure, CI/CD, deployment automation, observability, and reliability. Drive platform roadmap, incident response, automation to reduce toil, and adoption of AI-assisted engineering workflows while balancing velocity and long-term architecture.
2 Months AgoSaved
Hybrid
San Francisco, CA, USA
Artificial Intelligence • Big Data • Software
Own day-to-day accounting operations and reporting (GL, AP/AR, month-end close) ensuring US GAAP compliance. Manage a Senior Accountant and outsourced accounting team, shorten and automate the close, support audits, apply ASC 606/842, implement accounting systems, partner cross-functionally, and perform variance analysis. Grow to lead the accounting function and drive automation using modern tooling and AI.
26 Days AgoSaved
Remote or Hybrid
United States
Artificial Intelligence • Big Data • Software
Support customers with complex database integration issues while contributing directly to Airbyte’s Java and Kotlin open-source connectors. Troubleshoot replication, CDC, query performance, authentication, networking, schema evolution, and warehouse or lake destinations. Reproduce bugs, inspect logs and query plans, improve connector reliability, review community contributions, and collaborate with Engineering, Product, Solutions, Sales, and Customer Success. The role also includes technical documentation, mentoring support engineers, customer onboarding, and developing AI-assisted troubleshooting processes.