Customer Reliability Engineer – Airflow

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $125k - $130k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Astronomer

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

🏥 Healthcare

🏭 Manufacturing

💼 Consulting

💰 $213M Series C on 2022-03

Healthcare • Manufacturing • Consulting

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.

📋 Description

• Learn and build expertise across Airflow and data engineering, Kubernetes, and cloud engineering • Solve challenging Apache Airflow problems for customers, including configuration optimization and bug identification • Spend up to 20% of work time on side projects, such as contributing to the open-source Airflow repository or developing internal monitoring and alerting systems • Work on Astronomer’s cloud-native managed Airflow product • Work directly with customers’ data engineers, system administrators, DevOps teams, and management • Provide feedback that can shape the direction of the Airflow project • Own the customer experience by prioritizing and solving issues, meeting SLAs, and providing guidance toward production • Participate remotely within a fully distributed team • Help maintain 24x7 coverage through a specified six-hour pager period during the workday • Participate in paid on-call rotation for weekend coverage

🎯 Requirements

• Data engineering background • 4 years of experience with Python • 1 year of experience in Airflow administration and DAG creation • Experience with Kubernetes, Docker, and containers • Experience working with distributed systems on AWS, GCP, or Azure • Problem-solving and troubleshooting abilities • Ability to work autonomously and independently • Strong written and verbal communication for customer interactions through ticketing systems and Zoom • Experience mentoring junior team members • Contributions to open-source projects (bonus) • Customer support experience (bonus) • Familiarity with SQL and PostgreSQL (bonus) • Experience with Databricks, Snowflake, Redshift, dbt, or similar data engineering tools (bonus) • Authorization to work in the United States is queried in the application form • Work visa sponsorship requirements are queried in the application form

🏖️ Benefits

• Equity component • Comprehensive benefits package • Up to 20% of time for side projects • Paid on-call rotation for weekend coverage