Customer Reliability Engineer, Airflow

About the role

Airflow Reliability Engineer on the Customer Reliability Engineering (CRE) team at Astronomer. Provide Apache Airflow expertise directly to customers to help them make the best possible use of our managed Airflow service.

Responsibilities

• Learn and build expertise across several software engineering disciplines, including: Airflow and data engineering, Kubernetes, Cloud Engineering
• Gain exposure to the big picture; learn about product, engineering, customer relationship management, and more
• Solve challenging Airflow problems for our customers. From optimizing configuration to identifying world-first Airflow bugs, you’ll see it all here
• Spend up to 20% of your time on side projects that contribute to Astronomer’s overall success, such as contributing to the open-source Airflow repository or developing Astronomer’s internal monitoring and alerting systems built on Airflow
• Work on a modern, sophisticated, cloud-native product that customers use to connect to dozens of other systems
• Gain depth and breadth of learning!
• Work directly with our customers’ data engineers, system admins, DevOps teams, and management
• Provide feedback from your experience that can shape the direction of the Airflow project
• Ownt he customer experience, working directly with customers to prioritize and solve issues, meet SLAs, and provide “white glove” guidance on the path to production
• Participate remotely within a fully distributed team
• Help maintain 24x7 coverage through a specified 6-hour pager period during your work day
• Participate in paid on-call rotation for weekend coverage

Requirements

• Data Engineering background
• 4 years of experience with Python
• 1 year of experience in Airflow administration and DAG creation
• Experience with Kubernetes/Docker/Containers
• Experience working with a distributed system with any major cloud provider (AWS, GCP, Azure)
• Problem-solving and troubleshooting abilities
• Strong written and verbal communication for connecting with our customers over our ticketing system and through Zoom
• Ability to work well with autonomy and independence
• Experience mentoring junior team members

Qualifications

• Experience with SQL and PostgreSQL
• Familiarity with Databricks, Snowflake, Redshift, dbt, or other similar data engineering tools

Skills

• Apache Airflow
• Kubernetes
• Cloud Engineering
• Python

Benefits

• Comprehensive benefits package

Pay

• The estimated total compensation for this role ranges from $125,000 - $130,000 based on leveling and geography, along with an equity component

Schedule

• Remote work