DevOps Engineer

Company Overview

We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR).

QinetiQ US’s dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend.

Why Join QinetiQ US?

If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems.  In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ US will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives.

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 #qinetiqclearedjob  #DMVCAMPAIGN

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.