* Provide expertise on the product deployments and be responsible for supporting and maintaining full stack applications. * Design and author production quality technical documentation and reference materials to facilitate training. * Plan, coordinate and execute product upgrades and patch set updates. * Understand system designs and analyze and implement products in Big Data environment. * Work on the Hadoop ecosystem, cloud environment AWS, Microsoft Azure, and cloud IaaS providers (AWS EC2, Azure, Google). * Use automation tools such as Ansible, Chef or Puppet. * Perform Spark configuration and performance and system integrations. * Troubleshooting Linux, docket container and Hadoop cluster system performance. * Analyze workload on the system, recognize problem areas, and proactively intervene where necessary. * Understand management priorities and deliver every given task with sense of responsibility and dedication. * Research and document product system features and usage for standards recording. * Product related troubleshooting and analysis working with client teams. * Create dashboards and reports with emphasis on visualization, design and usability experience. * Work independently as well as in a team environment on moderate to highly complex issues.
* Bachelor's degree in Computer Science, Engineering, or related; * 5 years of experience as a Software Engineer or related occupation; * 5 years of experience with Linux and Networking Skills; * 5 years of hands-on experience with at least one programming language and Hadoop; and * 5 years of experience on SQL or NO SQL database.
Experience may be gained concurrently.
DataRobot Engineering is a hard-working, fast moving, fun-loving team of developers who put product before pride. Our team is flexible and adaptable. We genuinely like each other and work hard to make sure that we all succeed, both for individual and company success, because we believe that one doesn't happen without the other.
Interested? Apply now!
DataRobot provides a predictive analytics platform to rapidly build and deploy predictive models the cloud or an enterprise.