QUALIFICATIONS REQUIRED:

• Active TS/SCI with current polygraph
• Have at least 5 years serving as a Data/Cloud Systems Engineer
• Bachelor’s degree in engineering or related quantitative science field
• Experience using AWS tools (S3, Lambda, EC2, Cloudwatch, etc)
• Experience using Microsoft Azure
• Experience in developing intelligent algorithms capable of learning, analyzing, and predicting future events, turning those algorithms into AI models and systems, and then testing and maintaining them
• Ability to prepare and use large data sets for analysis as part of creating/developing robust data processing systems
• Generate data exploitation algorithms that can learn, assess, analyze, and organize data for testing while optimizing the Machine Learning (ML) to develop high-performance ML models

DESIRED QUALIFICATIONS:

• Master’s degree in engineering or related quantitative science field
• 5 years of IC experience
• Experience leading teams resulting in successful verification and test strategies/solutions for complex programs
• Experience with cloud development processes
• Experience with industry system engineering practices
• Strong people skills to influence, collaborate and work effectively with all levels of internal and external leadership
  Belong, Connect and Grow at KBR
  At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team’s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver – Together.
  KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

• Identify new sources of data and methods to improve data collection, analysis, and reporting
• Collect customer requirements
• Determine technical issues
• Design algorithms and data manipulation capabilities using R, Python, C++, JavaScript, Go, and other known programming languages
• Build data solutions, tools, and capabilities to enable self-service frameworks for data consumers to monitor and report on data
• Improve the quality of data use and usability by driving an understanding and adherence to the principles of data quality management, including metadata, lineage, and business definitions
• Work collaboratively with Intelligence and Data analysis teams to produce qualitative and quantitative data that support Intelligence products
• Other duties as assigned