
201 - 500 employees
Founded 2018
☁️ SaaS
🤖 Artificial Intelligence
💰 $213M Series C on 2022-03
Data Fabric • SaaS • Artificial Intelligence
Astronomer is a company focused on enhancing data workflows with its platform, Astro, which is built on Apache Airflow®. It offers a fully-managed platform to streamline and elevate data orchestration, from AI-driven models to data observability and ETL processes. Astronomer provides solutions for scalable, secure, and reliable data management, catering primarily to industries such as financial services, gaming, healthcare, manufacturing, retail, and eCommerce. With extensive integrations and a focus on governance and infrastructure management, Astronomer helps organizations accelerate productivity and optimize business decisions.
🕒 2 days ago
🏄 California, District of Columbia, +7 more states – Remote
💵 $125k - $130k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
⛑ DevOps & Site Reliability Engineer (SRE)
🦅 H1B Visa Sponsor
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201 - 500 employees
Founded 2018
☁️ SaaS
🤖 Artificial Intelligence
💰 $213M Series C on 2022-03
Data Fabric • SaaS • Artificial Intelligence
Astronomer is a company focused on enhancing data workflows with its platform, Astro, which is built on Apache Airflow®. It offers a fully-managed platform to streamline and elevate data orchestration, from AI-driven models to data observability and ETL processes. Astronomer provides solutions for scalable, secure, and reliable data management, catering primarily to industries such as financial services, gaming, healthcare, manufacturing, retail, and eCommerce. With extensive integrations and a focus on governance and infrastructure management, Astronomer helps organizations accelerate productivity and optimize business decisions.
• Learn and build expertise across several software engineering disciplines, including Airflow and data engineering, Kubernetes, Cloud Engineering • Solve challenging Airflow problems for our customers • Work directly with our customers’ data engineers, system admins, DevOps teams, and management • Participate remotely within a fully distributed team • Help maintain 24x7 coverage through a specified 6-hour pager period during your work day
• 4 years of experience with Python • 1 year of experience in Airflow administration and DAG creation • Experience with Kubernetes/Docker/Containers • Experience working with a distributed system with any major cloud provider (AWS, GCP, Azure) • Problem-solving and troubleshooting abilities • Strong written and verbal communication for connecting with our customers over our ticketing system and through Zoom • Experience mentoring junior team members
• Comprehensive benefits package • Paid on-call rotation for weekend coverage • Flexible work hours
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