> Markdown version of [/jobs/ext/3695841-systems-engineer-mid-level-in-columbia](https://www.wearedevelopers.com/jobs/ext/3695841-systems-engineer-mid-level-in-columbia). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Systems Engineer - Mid-Level in Columbia - **Company:** Energy Jobline - **Location:** Columbia, MO, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Systems Engineering, Cloud Engineering, Information Engineering, DevOps, Information Lifecycle Management, Systems Architecture, Machine Learning Operations, Data Pipelines - **Published:** October 12, 2026 - **Apply:** https://www.energyjobline.com/job/systems-engineer-mid-level-columbia-31919497 ## About the Role A High School Diploma or GED plus twelve (12) years of general system engineering experience. OR A Bachelor's degree in a Qualified Engineering Field or a related discipline from an accredited college or university plus seven (7) years of systems engineering experience. OR A Master's degree in a Qualified Engineering Field or a related discipline from an accredited college or university plus five (5) years of systems engineering experience. OR A PhD in a Qualified Engineering Field or a related discipline from an accredited college or university plus three (3) years of systems engineering experience. , Required Skills - Cloud Architecture/ Cloud Engineer/ Platform Engineering (especially in AWS) - AI/ML system design and implementation - High-level understanding of the AI lifecycle (development, training, inference, monitoring) - Experience with ML pipeline development, model deployment, and DevOps/MLOps - Experience with Amazon SageMaker is a plus - Excellent communication and collaboration skills with a variety of stakeholder groups, ability to proactively engage with these groups to understand requirements and inform system architecture decisions - System security and networking (particularly the implementation of system security on classified systems) - Data engineering and data lifecycle management