Mid-Level Systems Engineer
Mid-Level Systems Engineer Belong. Connect. Grow. with KBR! Around here, we define the future.
We share one goal: to improve the world responsibly as a company of innovators, thinkers, creators, explorers, volunteers, and dreamers. Note: This position is contingent upon contract award, customer approval, and funding availability. Clearance: Ability to obtain and maintain a government background check
Citizenship Requirement: Applicants must be U.S. Citizens or Permanent Residents Preferred location is Sioux Falls, SD Will consider Remote About the Role Why You'll Love This Role As a Mid-Level Systems Engineer, you will work across the full systems engineering lifecycle-from requirements to integration and test. You'll collaborate with experts in cloud engineering, software development, and operations while supporting high-impact systems used worldwide. This role offers hands-on technical growth, autonomy, and opportunities to contribute to meaningful engineering solutions. Responsibilities Systems Engineering
- Develop and document system requirements, operational concepts, and interface control documents.
- Design system interfaces and ensure seamless integration across distributed components.
- Conduct trade studies to support technology, cloud, and architectural decisions.
- Develop integration and test plans, procedures, and test cases.
- Execute test activities and work with engineers to resolve defects.
- Analyze data from tests and studies to inform technical decisions.
- Manage and track engineering tasks, schedules, and milestones.
- Prepare clear, concise technical reports, diagrams, and supporting visuals.
- Work closely with multidisciplinary engineering teams.
- Lead and present at internal reviews and milestone checkpoints.
- Communicate complex technical concepts clearly to non-technical stakeholders.
- Bachelor's degree in engineering, Computer Science, MIS, or related field-or equivalent experience.
- 5+ years of relevant systems engineering experience.
- Strong understanding of the Software Development Life Cycle (SDLC).
- Excellent analytical, communication, and collaboration skills.
- Experience with AWS cloud services and modern cloud architectures.
- Knowledge of image processing workflows, database technologies, or scientific data systems.
- Familiarity with engineering tools such as DOORS, Jira, Confluence, and Git.
- Understanding of AI/ML concepts and their applications to systems engineering.
- Experience supporting or modernizing large-scale distributed systems.
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