Customer Reliability Engineer, Infrastructure

Astronomer

full-time

Posted on: 9/5/2025

Origin: • 🇺🇸 United States

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💰 $140,000 - $150,000 per year

Mid-LevelSenior

AirflowApacheAWSAzureCloudDockerGoogle Cloud PlatformKubernetesLinuxPrometheusSplunk

About the role

Operate, monitor, and maintain Astronomer’s managed Airflow platform to ensure availability, predictability, and reliable operations
Learn and build expertise across Kubernetes, cloud engineering, and cloud networking
Become an expert on reliability of Kubernetes and underlying cloud infrastructure across AWS, Azure, and GCP
Create strong relationships with customers and help them achieve reliability goals
Own the customer experience, working directly with customers to prioritize and solve issues and meet SLAs
Work directly with customers’ data engineers, system admins, DevOps teams, and management
Provide feedback to shape the direction of Astronomer’s products
Spend up to 20% of time on side projects (open-source contributions, internal monitoring and alerting)
Maintain 24x7 coverage through a specified 6-hour pager period and participate in paid weekend on-call rotation
Participate remotely in a fully distributed team and attend ~2-4 in-person events per year

Motivation to learn
Commitment to excellence
Problem-solving and troubleshooting abilities
Willingness to identify and own problems through the full lifecycle
Excellent written and verbal communication for connecting with customers over ticketing system and Zoom
Demonstrable Linux familiarity
4 years of professional experience
Experience with Kubernetes/Docker/Containers
Experience with any major cloud provider (AWS, GCP, Azure)
Ability to work 9AM-3PM Eastern US, Monday to Friday
Participation in paid on-call rotation and 6-hour pager coverage
Authorization to work in the United States (application asks about US work authorization and visa sponsorship)
Bonus points if you have: previous experience working directly with customers, experience with DevOps, contributions to open-source projects, experience with Splunk or Prometheus