
Job description
We are seeking a Staff Software Engineer with deep expertise in data infrastructure and a strong focus on Apache Airflow to lead the orchestration and workflow engineering experience within Cloudera Data Engineering (CDE).
Drive the multi-year technical roadmap and architectural vision for enterprise-grade Apache Airflow within Cloudera Data Engineering. Design and optimize highly available, secure, and multi-tenant Airflow environments capable of managing complex dependencies and scheduling workflows across thousands of distributed cluster nodes.
This is your opportunity to build cloud-native solutions that are deployable anywhere whether in massive clusters on any cloud provider or in private data centers. You’ll work with cutting-edge technologies like Trino, Spark, Airflow, and advanced AI inferencing systems to shape the future of analytics.
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Company

Tech, Software & IT Services
Cloudera is a leading enterprise data cloud platform that unifies big data, analytics, and artificial intelligence across clouds, on‑premises data centers, and edge environments. Its integrated stack—built on open‑source foundations such as Apache Hadoop, Spark, and Kubernetes—delivers end‑to‑end data engineering, data warehousing, and machine‑learning capabilities, enabling customers to ingest, store, process, and analyze all types of data in a single, secure ecosystem. The company’s unique value proposition lies in its ability to apply AI to data wherever it resides, ensuring 100 % coverage of an organization’s data estate and empowering mission‑critical insights that drive profitability, risk mitigation, and life‑saving decisions. Cloudera’s enterprise‑grade security, governance, and hybrid‑cloud flexibility make it the preferred choice for the world’s largest enterprises seeking to transform data into strategic assets.