Customer Reliability Engineer, Airflow

This is a fully remote position, open to applicants in United States.

📋 Description

• Acquire and develop proficiency in Airflow, data engineering, Kubernetes, and cloud engineering.

• Address complex Apache Airflow challenges for clients, including configuration enhancements and bug identification.

• Dedicate up to 20% of your time to side projects that contribute to Astronomer’s success, such as open-source Airflow initiatives and internal monitoring and alerting systems.

• Engage with Astronomer’s advanced, cloud-native managed Airflow product.

• Collaborate directly with customers’ data engineers, system administrators, DevOps teams, and management.

• Provide insights that can influence the future direction of the Airflow project.

• Manage the customer experience by prioritizing and resolving issues, adhering to SLAs, and offering exceptional production guidance.

• Work remotely within a fully distributed team environment.

• Assist in maintaining 24x7 coverage during a designated 6-hour pager period throughout the workday.

• Engage in a paid on-call rotation for weekend support.

• Gain exposure to product management, engineering, customer relationship management, and related fields.

⛳️ Requirements

• Background in Data Engineering.

• Minimum of 4 years of experience with Python.

• At least 1 year of experience in Airflow administration and DAG development.

• Familiarity with Kubernetes, Docker, and Containers.

• Experience with distributed systems across any major cloud provider (AWS, GCP, Azure).

• Strong problem-solving and troubleshooting skills.

• Ability to work independently and with autonomy.

• Excellent written and verbal communication skills for engaging with customers via the ticketing system and Zoom.

• Experience in mentoring junior team members.

• Contributions to open-source projects (preferred).

• Customer Support experience (preferred).

• Understanding of SQL and PostgreSQL (preferred).

• Experience with data engineering tools such as Databricks, Snowflake, Redshift, dbt, or similar (preferred).

• Authorization to work in the United States is required in the application form.

• Willingness to participate in a mandatory in-person interview.

• Capability to help maintain 24x7 coverage during a specified 6-hour pager period within the workday.

🏝️ Benefits

• Equity component.

• Comprehensive benefits package.

• Paid on-call rotation for weekend coverage.

• Up to 20% of time allocated for side projects and open-source contributions.