Airflow Reliability Engineer

Location: Remote within the United States; Austin, Boston, or New York City. The role is remote, with a mandatory in-person interview.

Salary: $125,000–$130,000 annual total compensation, plus equity and comprehensive benefits.

Company

hirify.global develops Astro, a unified DataOps platform powered by Apache Airflow for reliable data products, analytics, AI, and data-driven applications.

What you will do

• Provide Apache Airflow expertise and white-glove guidance to customers using the managed Airflow service.
• Troubleshoot complex Airflow issues, optimize configurations, identify bugs, and help customers meet SLAs.
• Build expertise across Airflow, data engineering, Kubernetes, containers, and cloud engineering.
• Collaborate with customer data engineers, system administrators, DevOps teams, and management.
• Spend up to 20% of working time on side projects, including open-source Airflow contributions and internal monitoring systems.
• Participate in a six-hour pager period during the workday and paid weekend on-call rotations to support 24x7 coverage.

Requirements

• Background in data engineering.
• At least 4 years of experience with Python.
• At least 1 year of experience administering Airflow and creating DAGs.
• Experience with Kubernetes, Docker, containers, and distributed systems on AWS, GCP, or Azure.
• Strong troubleshooting, problem-solving, autonomy, and customer communication skills.
• Experience mentoring junior team members.

Nice to have

• Contributions to open-source projects.
• Customer support experience.
• Familiarity with SQL and PostgreSQL.
• Experience with Databricks, Snowflake, Redshift, dbt, or similar data engineering tools.

Culture & Benefits

• Participation in a fully distributed team.
• Opportunity to learn directly from Apache Airflow project leaders.
• Exposure to product, engineering, customer relationship management, and other disciplines.
• Equity and a comprehensive benefits package.
• Paid on-call rotation for weekend coverage.

Hiring process

• A mandatory in-person interview is required.