Airflow Reliability Engineer

Industry-leading, orchestration-first DataOps platform provider powered by Airflow, helping data teams build reliable data products.
$130,000 - $160,000
DevOps
Senior Software Engineer
Remote
4+ years of experience
Enterprise SaaS · AI

Description For Airflow Reliability Engineer

Astronomer, the company behind Astro, a leading DataOps platform powered by Airflow, 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 customers to optimize their managed Airflow service usage.

As part of a globally-distributed, venture-backed team, you'll be at the forefront of helping organizations keep their mission-critical Airflow implementations running smoothly. The role combines deep technical expertise with customer-facing support, requiring both strong engineering skills and excellent communication abilities.

The position involves working with various aspects of modern cloud infrastructure, including Kubernetes, multiple cloud providers, and data engineering tools. You'll have the chance to contribute to open-source projects, develop internal systems, and directly impact product development through customer feedback.

Key responsibilities include providing expert-level Airflow support, troubleshooting complex technical issues, maintaining system reliability, and ensuring customer success. You'll work in a remote-first environment with a competitive salary range of $130,000-$160,000 plus equity.

The ideal candidate brings 4+ years of professional experience, strong Python skills, and experience with containerization and cloud platforms. While Airflow expertise is valuable, the company values diverse experiences and welcomes candidates from non-traditional backgrounds who demonstrate strong technical aptitude and a passion for learning.

This role offers extensive learning opportunities across multiple disciplines, including data engineering, cloud infrastructure, and customer relationship management. You'll be part of a sophisticated support team that handles complex technical challenges while maintaining high standards of customer service.

Last updated a month 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 skills

Benefits For Airflow Reliability Engineer

Equity
  • Equity

Interested in this job?

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