Data Science DevOps Engineer, Senior

Alexandria, Virginia, United States
Jun 13, 2018
Jun 22, 2018
Full Time
Job Description Job Number: R0013325

Data Science DevOps Engineer, Senior

Key Role:

Perform as a data scientist devops engineer to support the practices of continuous integration and continuous delivery and deployment through the automation of application builds and compute environments. Deliver and configure deployment environments tailored to various roles, including development, testing, and operations on actual servers and in virtualized environments, such as KVM, AWS, or VMware. Work with development teams to ensure their applications can be deployed and maintained at scale using automation.

Basic Qualifications:

-12+ years of experience with development in Java, JavaScript, C#, C++, or equivalent high level languages

-Experience with Cloud architecture and development, including Amazon Web Services (AWS) or Commercial Cloud Services (C2S)

-Experience with build server, including Jenkins or Bamboo and infrastructure automation, such as Puppet or Chef

-Experience with version control systems, including Github or Gitlab

-Experience with building applications in a compiled language

-Knowledge of Basic Linux and UNIX system administration

-TS/SCI clearance

-BS degree

Additional Qualifications:

-Experience in spending time as a developer in any of the popular languages to assist other developers with build automation

-Experience with a variety of build tools, including Maven, Gradle, CMake, or SBT and OS Packaging, such as RPM or Deb

-Experience with implementing Secure Socket Layer (SSL) solutions

-Experience with implementing Public Key Infrastructure (PKI) solutions

-Experience with Hadoop, Accumulo, Kafka, or Spark

-Knowledge of advanced system administration a plus

-MS degree in a related field


Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

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