QinetiQ US
Position Overview
The DevOps Engineer will be responsible for taking a leadership role in refactoring existing data workflows from an on-premises infrastructure to the cloud. The ideal candidate is a hands-on developer with extensive DevOps experience who can identify and implement the appropriate cloud alternative to on-prem resources. Responsibilities
Our DevOps Engineers are responsible for the full data lifecycle from exploratory data analysis to the upkeep of production data flows. The DevOps Data Engineer focuses a majority of their time supporting the underlying environment and infrastructure used by the rest of the Data Engineering and Data Science teams. Required Qualifications
Extensive familiarity with AWS services to include CloudFormation, EC2, S3, and RDS CloudFormation, Ansible, Git, Jenkins, Bash Programming Languages: Python, Java or Scala Processing Tools: Elasticsearch, Spark, Nifi, and/or Docker Datastore Types: Graph, NoSQL, and/or Relational Active TS/SCI clearance with polygraph required Preferred Qualifications
Familiarity with AWS CDK Terraform, Packer Design Concepts: REST APIs Programming Languages: Javascript/NodeJS Processing Tools: Presto/Trino, MapReduce, Hive Company EEO Statement
Accessibility/Accommodation: If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to staffing@us.QinetiQ.com or call (540) 658-2720 Opt. 4 and let us know the nature of your request and contact information. QinetiQ US is an Equal Opportunity/Affirmative Action employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.
The DevOps Engineer will be responsible for taking a leadership role in refactoring existing data workflows from an on-premises infrastructure to the cloud. The ideal candidate is a hands-on developer with extensive DevOps experience who can identify and implement the appropriate cloud alternative to on-prem resources. Responsibilities
Our DevOps Engineers are responsible for the full data lifecycle from exploratory data analysis to the upkeep of production data flows. The DevOps Data Engineer focuses a majority of their time supporting the underlying environment and infrastructure used by the rest of the Data Engineering and Data Science teams. Required Qualifications
Extensive familiarity with AWS services to include CloudFormation, EC2, S3, and RDS CloudFormation, Ansible, Git, Jenkins, Bash Programming Languages: Python, Java or Scala Processing Tools: Elasticsearch, Spark, Nifi, and/or Docker Datastore Types: Graph, NoSQL, and/or Relational Active TS/SCI clearance with polygraph required Preferred Qualifications
Familiarity with AWS CDK Terraform, Packer Design Concepts: REST APIs Programming Languages: Javascript/NodeJS Processing Tools: Presto/Trino, MapReduce, Hive Company EEO Statement
Accessibility/Accommodation: If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to staffing@us.QinetiQ.com or call (540) 658-2720 Opt. 4 and let us know the nature of your request and contact information. QinetiQ US is an Equal Opportunity/Affirmative Action employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.