Engineering Manager, Platform - Hiring Sprint
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About the role
Airbyte is looking for an Engineering Manager, Platform to lead the team responsible for the infrastructure, tooling, and engineering systems that power Airbyte Cloud, Airbyte Flex, and Airbyte Agents. As an Engineering Manager on the Platform team, you'll lead the engineers responsible for cloud infrastructure, deployment systems, CI/CD, observability, reliability, and the internal tooling that powers engineering velocity across the company. Your work directly shapes both how fast engineers ship and how customers experience Airbyte. This isn't a keep-the-lights-on role. You'll make real tradeoffs between engineering velocity, customer-facing reliability, and long-term architecture every week, and you'll help define how AI transforms the way we build and operate software. This role combines people leadership, technical strategy, operational excellence, and platform thinking. You'll help define how engineering works at Airbyte - not just what we build.
Responsibilities
- Lead, mentor, and grow a team of Platform Engineers, Fullstack Engineers, and SREs. Recruit engineers who understand that infrastructure decisions are product decisions.
- Own the reliability and operational health of Airbyte's production systems.
- Define the roadmap for Airbyte's platform: infrastructure, CI/CD, deployment automation, observability, internal tooling, and the product surfaces built on top of them.
- Invest in and drive adoption of AI-powered workflows for debugging, release validation, infrastructure management, and developer productivity, moving past experimentation into real operational leverage.
- Lead incident response, run blameless postmortems, and ensure systemic fixes follow every outage. Continuously reduce operational toil through automation.
- Build leverage: a week-long task this year should take ten minutes next year.
- Success Metrics:
- Engineers deploy with confidence and ship faster quarter over quarter.
- Platform reliability improves as measured by customer-facing SLAs, not just internal dashboards.
- Operational toil decreases through automation, not heroics.
- Incidents are detected faster, resolved faster, and the same failure doesn't happen twice.
- Your team is engaged, growing, and building careers they're proud of.
Requirements
- 5+ years of software engineering experience, 2+ years managing engineering teams.
- Experience leading Platform Engineering, Infrastructure, SRE, or Developer Productivity organizations.
- Strong understanding of cloud infrastructure, CI/CD, observability, and distributed systems.
- Experience operating production systems at scale.
- You think about platform work in terms of customer impact, not just engineering elegance.
- You've navigated the tension between paying down tech debt and shipping product, and you can articulate how you made those calls.
- Excellent communication skills. You can translate platform strategy into language that product, design, and business leaders understand.
- You have an insatiable desire to ship.
- Experience with AI-assisted engineering workflows or agentic software development.
- Experience building internal developer platforms.
- Familiarity with Terraform,
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: âď¸ Platform Engineers đď¸ Database Engineers âď¸ Site Reliability Engineers đ Extensibility API Engineers đ¤ AI Agents Engineers đ¤ 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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