
Reliability Engineer for Data Systems
4 days ago
Astronomer's mission is to empower data teams with analytics, AI, and software. As an Airflow Reliability Engineer, you'll work on our managed Airflow service.
About this role:As a reliability engineer, you'll become an Apache Airflow expert and provide direct expertise to customers using our service.
This requires strong technical knowledge and customer empathy to solve complex issues every day.
The position includes working a flexible schedule, Monday to Friday, with two options: 9 PM to 3 AM Eastern or 3 AM to 9 AM Eastern.
What you get to do:Develop expertise in software engineering disciplines, including Airflow, data engineering, Kubernetes, and cloud engineering.
Solve challenging Airflow problems for customers and contribute to Astronomer's success.
Collaborate with customers' data engineers, system admins, and DevOps teams remotely within a distributed team.
Maintain 24x7 coverage through pager rotation.
Four years of professional experience (any industry)
Proven proficiency in Python, with a minimum of two years of experience
Experience with Kubernetes/Docker/Containers and cloud providers
Strong problem-solving and troubleshooting abilities, as well as written and verbal communication skills
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