Customer Reliability Engineer, Infrastructure

Astronomer, the company behind the industry-leading Astro DataOps platform powered by Apache Airflow®, is seeking a Customer Reliability Engineer specializing in infrastructure. This role is part of the Customer Reliability Engineering (CRE) team, which is crucial for ensuring the success of customers using Astronomer's managed Airflow service.

The position offers a unique opportunity to become an expert in cloud infrastructure across AWS, Azure, and GCP, with a strong focus on Kubernetes and reliability engineering. As a CRE, you'll be responsible for operating, monitoring, and maintaining the platform to ensure high availability and reliable operations for over 700 enterprise customers.

This role is ideal for someone who has a deep passion for technology and aims to achieve expertise in everything they learn. The position requires 4 years of professional experience and combines technical expertise with customer interaction, allowing you to work directly with data engineers, system admins, and DevOps teams while contributing to the platform's evolution.

Key aspects of the role include maintaining 24x7 coverage through a specified 6-hour pager period during regular work hours (9AM-3PM Eastern US), participating in weekend on-call rotations, and spending up to 25% of your time on impactful side projects. The compensation package includes a competitive salary range of $130,000 - $150,000 plus equity, reflecting the role's importance.

The position offers significant growth potential, exposure to modern cloud-native technologies, and the opportunity to work with a sophisticated product that integrates with numerous systems. Astronomer values diverse experiences and backgrounds, making it an ideal environment for professionals with unconventional career paths who are committed to excellence and continuous learning.

Working remotely with a distributed team, you'll have the flexibility of remote work while maintaining strong connections through 2-4 annual in-person events. This role is perfect for someone who combines technical expertise with strong communication skills and a desire to directly impact customer success in the data engineering space.