Customer Reliability Engineer - Infrastructure - Hyderabad, India
Astronomer6 days ago
Hyderābād, IndiaMid Level
Responsibilities
- Provide technical solutions and troubleshooting support to customers using Astronomer products.
- Triage customer-reported and monitoring-generated incidents and drive permanent resolution or improved monitoring.
- Build and maintain monitoring, alerting, observability, and operational automation systems.
- Help direct product architecture and provide feedback to product development teams on customer needs and pain points.
- Own customer experience by prioritizing issues, meeting SLAs, and providing production guidance.
- Enhance customer documentation and support reliable operation of the cloud-native platform.
- Participate in a six-hour daily pager period and paid weekend on-call rotations to support 24x7 coverage.
Requirements
- At least 3 years of experience, preferably operating large and complex cloud infrastructures at scale.
- At least 2 years of experience with Kubernetes.
- Experience managing production distributed systems with AWS, GCP, or Azure.
- Strong networking experience with a major cloud provider and strong Linux experience.
- Knowledge of operating and monitoring distributed systems and experience with observability tools.
- Experience handling internal or external customer issues.
- DevOps or CI/CD experience and Python scripting skills.
- Strong communication skills.
- Preferred qualifications include Site Reliability Engineering experience, Kubernetes Custom Resources experience, Airflow or big data orchestration experience, and infrastructure-as-code experience.
Benefits
- Flexible hybrid work model requiring at least three days per week in the Hyderabad office.
- Paid weekend on-call rotation.
- Opportunity to work on a modern cloud-native product and directly influence customer success.
Tech Stack
Categories
DevOpsSite Reliability
About Astronomer
Astronomer builds Astro, a data orchestration platform powered by Apache Airflow that lets data teams run, monitor, and govern complex pipelines across clouds. It sells managed Airflow and enterprise tooling via subscriptions, backed by expert support and services. Founded in 2018 and headquartered in New York, the privately held company focuses on enterprises operationalizing analytics and AI workloads.