6 дней назад
Airflow Reliability Engineer (Airflow/Kubernetes)
125 000 - 130 000$
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Airflow Reliability Engineer (Airflow/Kubernetes): Supporting customers running mission-critical managed Apache Airflow services with an accent on Airflow administration, data engineering, Kubernetes, and cloud infrastructure. Focus on troubleshooting complex distributed-system issues, optimizing Airflow configurations, identifying bugs, maintaining monitoring and alerting systems, and providing customer guidance within SLA and on-call requirements.
Location: Remote within the United States; Boston; New York City
Estimated total compensation: $125,000–$130,000 per year, plus equity and benefits.
Company
develops Astro, a managed, cloud-native DataOps platform powered by Apache Airflow for building reliable data products, analytics, and AI applications.
What you will do
- Provide Apache Airflow expertise and white-glove technical guidance to customers using the managed Airflow service.
- Investigate and solve complex Airflow problems, from configuration optimization to identifying previously unknown bugs.
- Work directly with customer data engineers, system administrators, DevOps teams, and management to prioritize and resolve issues.
- Contribute feedback that influences the Apache Airflow project and spend up to 20% of time on side projects.
- Develop or maintain internal monitoring and alerting systems and contribute to the open-source Airflow repository.
- Support 24x7 coverage through a six-hour pager period during the workday and participate in paid weekend on-call rotations.
Requirements
- Background in data engineering.
- At least 4 years of experience with Python.
- At least 1 year of experience with Airflow administration and DAG creation.
- Experience with Kubernetes, Docker, containers, and distributed systems on AWS, GCP, or Azure.
- Strong problem-solving, troubleshooting, written, and verbal communication skills.
- Ability to work autonomously and mentor 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.
- Opportunities to develop expertise across Airflow, data engineering, Kubernetes, and cloud engineering.
- Direct exposure to product, engineering, and customer relationship management.
- Equity component and comprehensive benefits package.
- Paid on-call rotation for weekend coverage.
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