Customer Reliability Engineer, Airflow
Provide Apache Airflow expertise and solve complex data engineering issues for enterprise customers on Astronomer's managed Airflow platform. Requires 4+ years Python, 1+ year Airflow admin/DAG experience, Kubernetes, and cloud platform experience.
What you get to do
- Learn and build expertise across several software engineering disciplines, including Airflow and data engineering, Kubernetes, and Cloud Engineering
- Solve challenging Airflow problems for customers, from optimizing configuration to identifying world-first Airflow bugs
- 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
- Work directly with 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
What you bring to the role
- 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
- Ability to work well with autonomy and independence
- Strong written and verbal communication for connecting with customers over ticketing system and through Zoom
- Experience mentoring junior team members
Bonus points if you have
- Contributions to open-source projects
- Customer Support experience
- Familiarity with SQL and PostgreSQL
- Experience with Databricks, Snowflake, Redshift, dbt, or other similar data engineering tools
Compensation and Benefits
- Estimated total compensation ranges from $125,000 - $130,000 based on leveling and geography, along with an equity component and a comprehensive benefits package
Customer Support Engineer
First Customer Support Engineer responsible for triaging and resolving technical customer issues end-to-end, building automated support infrastructure, and bridging to engineering and product teams. Requires 3+ years technical support or engineering experience with production code and API familiarity.
Customer Reliability Engineer - Infrastructure
Infrastructure-focused Customer Reliability Engineer supporting Astronomer's managed Airflow platform. Troubleshoots customer cloud/K8s environments, owns monitoring/alerting, participates in on-call, and drives reliability improvements across AWS, GCP, and Azure.
Senior Cloud Support Engineer
Provide technical support for Crusoe Cloud's GPU compute platform, troubleshooting VMs, hardware, and scaling issues while participating in 24/7 on-call rotations. Requires 5+ years customer support experience and strong Linux/cloud skills.
Senior Cloud Support Engineer
Provide technical support for Crusoe Cloud's GPU infrastructure, troubleshooting VMs, hardware, and scaling issues while participating in 24/7 on-call rotations. Requires 5+ years customer support experience and strong Linux/cloud skills.
Senior Cloud Support Engineer
Provide technical support for Crusoe Cloud's GPU compute platform, troubleshooting VMs, hardware, and scaling issues while participating in 24/7 on-call rotations. Requires 5+ years customer support experience and strong Linux/cloud/HPC skills.