Job Overview
Location
Remote (United States)
Job Type
Full-time
Category
Data Science
Date Posted
June 26, 2026
Full Job Description
đź“‹ Description
- • Operate, monitor, and maintain the cloud infrastructure and Kubernetes clusters powering Astronomer’s managed Apache Airflow® platform to ensure high availability, predictability, and reliable customer operations.
- • Respond to customer-reported incidents and system alerts, leading triage, diagnosis, and resolution to prevent recurrence and improve system resilience.
- • Participate in a rotating on-call schedule that includes weekend coverage to ensure 24/7 support for mission-critical customer environments.
- • Troubleshoot complex customer environments across diverse cloud providers (AWS, GCP, Azure) and provide tailored guidance to help customers achieve production success.
- • Build, enhance, and maintain monitoring, alerting, and observability systems to proactively detect and mitigate infrastructure issues before they impact customers.
- • Develop and automate operational workflows to reduce manual toil, improve efficiency, and ensure consistent execution of daily infrastructure tasks.
- • Collaborate directly with customers to prioritize issues, meet SLAs, and deliver “white glove” support that enhances their experience with Astronomer’s products.
- • Provide actionable feedback to product development teams based on real-world customer pain points, usage patterns, and operational challenges.
- • Contribute to the architecture and design of the platform by identifying reliability gaps and proposing scalable infrastructure improvements.
- • Enhance and enrich customer-facing documentation to improve self-service capabilities and reduce support overhead.
- • Work within a fully distributed, remote team to support customers across multiple industries and time zones with varying technical requirements.
- • Engage with the latest cloud-native technologies and multi-cloud environments to ensure the platform remains at the forefront of DataOps innovation.
- • Own the end-to-end customer experience for infrastructure-related issues, ensuring timely resolution and continuous improvement in service quality.
- • Apply Python scripting to automate tasks, analyze logs, and build tools that improve operational efficiency and system reliability.
- • Maintain deep Linux system knowledge to diagnose and resolve low-level infrastructure issues across distributed systems.
- • Work with Infrastructure as Code (IaC) practices to manage and version-control cloud resources and Kubernetes configurations.
🎯 Requirements
- • 5 years of experience operating large, complex cloud infrastructures at scale
- • 3 years of hands-on experience with Kubernetes
- • Proven experience managing production distributed systems on at least one major cloud provider (AWS, GCP, or Azure)
- • Strong Linux system administration and troubleshooting skills
- • Demonstrated experience handling customer issues, either internally or externally
- • Strong communication skills for direct customer interaction and cross-team collaboration
- • DevOps or CI/CD experience
- • Proficiency in Python scripting
🏖️ Benefits
- • Estimated total compensation range of $125,000–$130,000, including equity
- • Comprehensive benefits package
- • Fully remote work environment
- • Opportunity to work with cutting-edge DataOps and Apache Airflow® technology
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Astronomer, Inc.
Astronomer, Inc. provides Apache Airflow as a managed cloud service and enterprise platform. The company maintains the open-source workflow orchestration project, offers commercial support, and delivers a control plane that lets data teams deploy, monitor, and scale directed acyclic graphs across Kubernetes clusters. Its product suite includes Astro, a fully hosted Airflow environment with role-based access, CI/CD hooks, and usage observability. Customers use the software to schedule Python and SQL data pipelines, connect on-premise and cloud databases, and ensure reliable data delivery for analytics and machine-learning workloads. Astronomer is headquartered in Cincinnati, Ohio, and serves global enterprises.
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