# Staff Software Engineer, Platform Infrastructure at Astronomer

- Company: Astronomer
- What the company does: 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.
- Company website: https://www.astronomer.io/
- Type: Startups
- Level: Senior
- Location: New York City
- Work setup: Remote
- Pay: $275K to $377K base salary per year (USD)
- Posted: 2026-07-30
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/astronomer/666377b7-a013-4163-bf4e-3f20d50a3a6e
- Page: https://www.1752.vc/careers/jobs/astronomer-staff-software-engineer-platform-infrastructure/

## 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

Tags: Engineering