Customer Reliability Engineer, Airflow
New
A
AstronomerDataOps platform
IrelandFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 4 years of experience with Python, 1 year of experience with Kubernetes/Docker/Containers
- Required Skills
- AWSDockerPythonApache AirflowGCPKubernetesAzure
Requirements
- Data Engineering background
- 4 years of experience with Python
- 1 year of experience with Kubernetes/Docker/Containers
- Experience in Airflow administration and DAG creation
- Experience working with a distributed system with any major cloud provider (AWS, GCP, Azure)
- Problem-solving and troubleshooting abilities
- Ability to work well with autonomy and independence
- Strong written and verbal communication for connecting with customers over ticketing system and Zoom
- Experience mentoring junior team members
Responsibilities
- Learn and build expertise across several software engineering disciplines, including Airflow and data engineering, Kubernetes, Cloud Engineering
- Gain exposure to product, engineering, customer relationship management, and more
- Solve challenging Airflow problems for customers, from optimizing configuration to identifying world-first Airflow bugs
- Spend up to 20% of time on side projects, such as contributing to open-source Airflow or developing internal monitoring and alerting systems
- Work on a modern, sophisticated, cloud-native product
- Work directly with customers’ data engineers, system admins, DevOps teams, and management
- Provide feedback from experience that can shape the direction of the Airflow project
- Own the customer experience, working directly with customers to prioritize and solve issues, meet SLAs, and provide “white glove” guidance
- Participate remotely within a fully distributed team
- Help maintain 24x7 coverage through a specified 6-hour pager period during work day
- Participate in paid on-call rotation for weekend coverage
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