Data/Cloud Engineer
Data/Cloud Engineer Belong. Connect. Grow. with KBR! KBR's National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country's most critical role - protecting our national security. Why Join Us?
- Innovative Projects: KBR's work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions.
- Collaborative Environment: Be part of a dynamic team that thrives on collaboration and innovation, fostering a supportive and intellectually stimulating workplace.
- Impactful Work: Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense.
- Design/develop cloud-based data storage strategies by leveraging existing cloud services
- Develop and maintain cloud-based data storage and dissemination retrieval services
- Migrate on-premises legacy applications, services, and related data to existing cloud infrastructure
- Identify best practices for cloud services monitoring and management
- Research and implement cloud services to support cloud apps and maintain cloud services
- Uses scientific methods, processes, algorithms, and systems to extract insights from structured and unstructured data
- Apply mathematical, problem-solving, and coding skills to manage big data, extracting valuable insights
- Assess other's R&D proposals for feasibility and progress towards mission goals
- Other duties as assigned
- Active TS/SCI with current CI polygraph
- Have at least 10 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
- Demonstrated expertise and 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
- Master's degree in engineering or related quantitative science field
- 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
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