Hadoop DevOps Engineer
Sorry, this job was removed at 9:35 p.m. (EST) on Friday, October 6, 2017
By clicking Apply Now you agree to share your profile information with the hiring company.
Job Summary
DataRobot has leveraged the power of Hadoop to develop a ground-breaking predictive analytics platform and is seeking experienced Hadoop DevOps Engineer to develop and support integrations with customer environments and Hadoop technologies. As a Hadoop DevOps Engineer at DataRobot you will work with Development, Test Automation, Release Engineering, and Support teams as you bring new features and integrations through the full release cycle from R&D to customer delivery.
Responsibility
- Develop tools to integrate the product with multiple Hadoop platforms
- Develop automated build and testing suites to ensure a stable, reliable product
- Provide third-tier support for customer installations of DataRobot, jumping in for the most technically challenging problems
- Pairing with and mentoring colleagues
Main Requirements
- Profound knowledge of at least one Hadoop distribution (Cloudera, Hortonworks, etc.)
- Deep experience with Hadoop ecosystem security technologies such as Kerberos, LDAP, and Active Directory
- Detailed knowledge of core Hadoop architecture components (HDFS, YARN, ZooKeeper, etc)
- 3+ years of experience supporting Hadoop customer integrations
- 3+ years of experience with administering enterprise production Hadoop clusters
- 5+ years of experience with Linux system configuration and administration
- Scripting experience in Python and Bash
- Excellent written and verbal communication skills
- Great technical troubleshooting skills
- Extensive experience as a technical lead
Desired Skills (at least some of the following)
- Java or Scala programming
- Experience with Java application lifecycle; development, testing, build, and release
- Hands-on experience using Hadoop data analysis tools
- Experience with systems and application performance tuning
- Experience with complex software packaging, delivery and maintenance
- Experience with cloud technologies such as AWS
- Experience with configuration management tools such as Ansible, Puppet, Chef, etc
- Experience with Docker
- Previous startup experience
Read Full Job Description