Apache Airflow® orchestrates the world’s data, ML, and AI pipelines. Astro is the best way to build, run, and observe them at scale. Backed by Insight and 500 Global.
About the role
Astronomer’s products run on a complex, multi-cloud platform — and the scalability, and operational maturity of that platform is what we’re actively investing in. The work ahead on our Platform team isn’t about managing data or curating pipelines; it’s about building the foundational systems that everything else runs on — the kind of systems where the failure modes matter, the latency budgets are real, and getting it wrong has visible consequences for hundreds of enterprise customers.
What they're looking for
- Kubernetes at operator depth. You know what happens inside the scheduler and the control loop when things go wrong, because you’ve been there. You’ve operated clusters under real load, not just deployed workloads onto them
- Strong Go proficiency. The platform team writes production Go. You should be fluent: you’ve built and shipped systems in it, and you have opinions about what good Go looks like
- Multi-cloud experience, not just multi-cloud exposure. You’ve made considered architectural decisions across AWS, GCP, and/or Azure — not just consumed managed services, but evaluated tradeoffs between them and lived with those decisions in production
- Experience defining requirements and driving technology choices across an engineering organization. You’ve been the person in the room who frames the decision correctly, not just the one who executes it
- Strong written and verbal communication. You can write a design doc that changes minds, and a postmortem that makes the organisation smarter. You’ve worked effectively in a globally-distributed team
- Experience with storage primitives at the system level — you’ve reasoned about when to reach for a relational store vs. an object store vs. something else, and you have real opinions informed by real failures
More about this role
Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io .
Astronomer’s products run on a complex, multi-cloud platform — and the scalability, and operational maturity of that platform is what we’re actively investing in. The work ahead on our Platform team isn’t about managing data or curating pipelines; it’s about building the foundational systems that everything else runs on — the kind of systems where the failure modes matter, the latency budgets are real, and getting it wrong has visible consequences for hundreds of enterprise customers.
We’re looking for a Staff+-level engineer who has built production platform systems at scale before — not just consumed them. You’ve designed systems under load, reasoned carefully about failure, and made your colleagues’ lives...
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