Airflow Reliability Engineer (Python) - India

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Requirements:

• 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 for connecting with our customers over our ticketing system and through Zoom

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 25% 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.
• Own the 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.