Airflow Reliability Engineer

Astronomer provides Astro, the industry-leading unified DataOps platform powered by Apache Airflow®, empowering data teams to build reliable data products.
United States
$130,000 - $160,000
DevOps
Mid-Level Software Engineer
Remote
4+ years of experience
Enterprise SaaS · AI

Description For Airflow Reliability Engineer

Astronomer is seeking an Airflow Reliability Engineer to join their Customer Reliability Engineering (CRE) team. This role offers a unique opportunity to become an Apache Airflow expert while working directly with industry leaders. The position combines technical expertise with customer support, focusing on helping sophisticated organizations maintain mission-critical Airflow implementations.

The role requires a strong technical background with at least 4 years of professional experience and 2 years of Python expertise. You'll work with cutting-edge technologies including Kubernetes, cloud platforms, and various data engineering tools. The position involves solving complex Airflow problems, contributing to open-source projects, and maintaining system reliability through scheduled on-call rotations.

As part of Astronomer's remote-first culture, you'll join a distributed team while having the flexibility to work from anywhere in the United States. The compensation package is competitive, ranging from $130,000 to $160,000, plus equity, reflecting the high-level expertise required for the position.

This role is perfect for someone who is passionate about becoming a technical expert, enjoys solving complex problems, and has strong communication skills. You'll have the opportunity to work on sophisticated cloud-native products, interact directly with customers' technical teams, and influence the direction of the Airflow project. The position offers a unique blend of technical depth and customer interaction, making it ideal for those who want to grow both their technical and soft skills while working with cutting-edge technology.

The company values diversity and maintains an inclusive work environment, welcoming candidates from all backgrounds. This is an excellent opportunity for someone looking to deepen their expertise in data engineering while making a significant impact on customer success.

Last updated 3 days ago

Responsibilities For Airflow Reliability Engineer

  • Provide Apache Airflow expertise to customers
  • Help customers optimize configuration and identify Airflow issues
  • Contribute to open-source Airflow repository
  • Develop internal monitoring and alerting systems
  • Work directly with customers' technical teams
  • Maintain 24x7 coverage during specified work hours
  • Participate in paid on-call rotation for weekend coverage
  • Own the customer experience and provide white glove guidance

Requirements For Airflow Reliability Engineer

Python
Kubernetes
PostgreSQL
  • Four years of professional experience (any industry)
  • Proven proficiency in Python, with a minimum of two years of experience
  • Experience with Kubernetes/Docker/Containers
  • Experience working with a distributed system with any major cloud provider (AWS, GCP, Azure)
  • Problem-solving and troubleshooting abilities
  • Work well with autonomy and independence
  • Strong written and verbal communication

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