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At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises. The Data Services Platform organization has deep technical expertise in distributed computing and container orchestration technologies like Kubernetes, Apache Hadoop, etc. and on various cloud platforms like Openshift, RKE, AWS, Azure, GCP etc. We have team members who have been the pioneers of open source projects like YuniKorn for Kubernetes. We are deeply involved in open source communities like Apache Software Foundation and CNCF. As the Staff Software Engineer you will be a full stack engineer in the CDP Data Services Platform - Control Plane team. This is a distributed team of senior engineers.
Job Responsibility:
Work closely with Product Managers to drive a project’s requirements and convert said requirements into technical designs
Design, write and review high quality code to deliver elegant, scalable, enterprise-quality, cloud based application services
Execute the development of software with a strong focus on the security, performance, and robustness
Build strong relationships and collaborate with UI engineers, quality engineers, UX designers, Product Managers, SRE, Infosec and external partners
Hire, mentor and lead junior engineers by example
Work to enhance developer productivity and team agility.
Requirements:
BS/MS in Computer Science
Passionate about programming
Clean coding habits, attention to details, and focus on quality and testability
5+ years of hands on software design, implementation and test experience with strong understanding of distributed & large scale systems
Strong software engineering skills: object oriented design, data structures, and algorithms
Experience with the following: Java, concurrent programming, test driven development, and related areas required.
Nice to have:
Working knowledge of Hadoop or other big data solutions
Experience with disaster recovery, data tiering solutions and workflow management.