Senior Data Engineer, Cloud Services

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

Far Ridgeline Engagements LLC (a QinetiQ US Company) is seeking an experienced data engineer with a track record of success in the area of cloud services as part of a growing team with a US Department of Defense operations support project developing modern, cloud-based solutions to securely store and analyze Customer data. This role will be at the forefront of leveraging the latest in data and data analytics technolgoies supporting a diverse range of Client and Client-Customer operational support requirements.

Responsibilities

• Lead development, maintenance, and operations of Client cloud-based platforms, including expanding the functionality to meet emerging needs and increased user load
• Monitor and optimize cloud-native resources, maintain correct user access, & troubleshoot user issues; ensure system design is scalable and, wherever possible, automated and scriptable to streamline expansion/replication
• Organize backlog and develop features and stories, conducting the work in sprints
• Develop new software features prioritized according to needs gathered from user engagement sessions and contained in the backlog; identify opportunities to automate common tasks for operations and end users
• Lead meetings and report status to client; coordinate with product owner
• Remove barriers for Agile SCRUM team to effectively work

Required Qualifications

• Clear communication skills, ability to train other personnel, and capable to provide 24-hour Client support to technical or troubleshooting requirements
• Updated awareness and knowledge of security vulnerabilities and capable to administer patches to secure the network from identified vulnerabilities
• Ability to provide auditing and logging capabilities
• Bachelor's Degree in Computer Science, Computer Engineering, Information Technology or related STEM program. Education requirement may be offset with four (4) years of equivalent level experience as a Cloud Systems Engineer
• Active TS/SCI clearance; current counterintelligence (CI) polygraph examination; otherwise eligible candidates without a current CI polygraph may be considered if willing to schedule an exam; #QinetiqClearedJob

Preferred Qualifications

• Experience with provisioning virtual resources and building infrastructures in AWS, Google Cloud, Microsoft Azure, and Digital Ocean commercial clouds
• Strong scripting experience in automation and configuration of cloud resources
• Working knowledge of AWS Cloud Formation, JSON, and Python scripting languages
• Exposure to serverless provisioning such as AWS Lamda or Docker containers with Kubernetes
• Advanced knowledge of VPCs, VPN intern, and routing both internally and externally within commercial couds

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.