
Distributed System Engineer
4 days ago
We're looking for experienced professionals who can ensure reliable data products using Apache Airflow. At Astronomer, we use Airflow to accelerate these products.
About this role:You'll join our team of learners, innovators, and collaborators who empower data teams with mission-critical analytics, AI, and software.
As a reliability engineer, you'll become an expert in Airflow and develop strong technical knowledge to solve complex customer issues.
The role involves maintaining 24x7 coverage through pager rotation and working a flexible schedule with two available time slots, 9 PM to 3 AM Eastern or 3 AM to 9 AM Eastern, Monday to Friday.
Responsibilities:Learn and build 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 through side projects.
Work collaboratively 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 major cloud providers
Strong problem-solving and troubleshooting abilities, as well as written and verbal communication skills
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