This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
At Cloudera, our Data Services Pillar is the heart of data innovation. We don’t just work with technology; we build it. Our mission is to empower data practitioners by creating seamless, enterprise-grade experiences for data engineering, warehousing, streaming, operational databases, and AI. Cloudera Data Warehouse (CDW) is a cloud-native, self-service data service to provide highly performant, independent, and scalable data warehouses – like Impala and Hive – for business intelligence (BI) and analytics workloads. It is a containerized application (a "Data Service") within the Cloudera Data Platform (CDP) deployed on Kubernetes into public and private cloud environments. We are looking for an experienced engineer who is familiar with Kubernetes, Go and cloud technologies such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform to help us build robust and scalable data infrastructure software.
Job Responsibility:
Write product and test code for Cloudera Data Warehouse
Lead mid-size development efforts, often mentoring less senior members of the widely distributed team
Review code contributed by other members of the team
Author design documents
Review design documents
Assist Customer Support in troubleshooting Cloudera Data Warehouse
Requirements:
Bsc/Msc in related field or equivalent experience
Strong containerization (e.g. Docker) and Kubernetes knowledge
6+ years of experience writing software in Go or Java/C++
Experience with cloud technologies such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform
Strong written and verbal communication skills and collaborative mindset
Comfortable interacting online with a worldwide team
Experience in on-call rotation to help ensure services stay up and running
Nice to have:
Experience with DevOps or Site Reliability Engineering
Experience with performance analysis, troubleshooting, tuning, and capacity planning
Experience with automating deployment of software to production instances and owning software releases
Strong Linux and systems experience
Experience with Jenkins and continuous integration