
Mid-Level Systems Engineer
KBR, Inc.
full-time
Posted on:
Location Type: Remote
Location: South Dakota • United States
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Salary
💰 $105,200 - $157,800 per year
Tech Stack
About the role
- 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.
Requirements
- 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.
Benefits
- 401K plan with company match
- Medical
- Dental
- Vision
- Life insurance
- AD&D
- Flexible spending account
- Disability
- Paid time off
- Flexible work schedule
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
systems engineeringSoftware Development Life Cycle (SDLC)image processing workflowsdatabase technologiesscientific data systemsAI/ML conceptsintegration and test planstest activitiesdefect resolutiondata analysis
Soft Skills
analytical skillscommunication skillscollaboration skillsleadershippresentation skillstechnical writingproblem-solvinginterpersonal skillsorganizational skillsstakeholder communication