> Markdown version of [/jobs/ext/3546817-mid-level-python-systems-engineer-382k-yr-ts-sci-ci-poly](https://www.wearedevelopers.com/jobs/ext/3546817-mid-level-python-systems-engineer-382k-yr-ts-sci-ci-poly). 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).

---

# Mid-Level Python Systems Engineer [$382k/yr+] TS/SCI-CI Poly

- **Company:** SYSTOLIC, INC.
- **Location:** Annapolis Junction, MD, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Systems Engineering, Cloud Computing, Software Code Optimization, Continuous Integration, Amazon DynamoDB, Python (Programming Language), TypeScript, AWS Cdk, Delivery Pipeline, Software Troubleshooting, Gitlab, Containerization, Terraform, Serverless Computing, Docker
- **Published:** September 30, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9204622/mid-level-python-systems-engineer-382kyr-tssci-ci-poly

## About the Role

* Degree: Technical bachelor's degree or equivalent experience
 * Years of experience: 7+ years
 * Total Compensation: $382k+ yearly

## Description

* Hands-on developer to design, build, test, and deploy mission-critical solutions across a multi-year portfolio.
 * Develop full-stack cloud applications and services using Python and TypeScript.
 * Implement automated CI/CD pipelines, containerized workloads, and infrastructure as code., * Write, test, and maintain code for full-stack applications deployed to AWS cloud environments.
 * Define and manage cloud infrastructure as code using Terraform and AWS CDK.
 * Deploy, monitor, and scale containerized applications using Docker and Kubernetes.
 * Design, automate, and maintain continuous integration and deployment pipelines using GitLab.
 * Configure and integrate serverless architectures and database services including DynamoDB and Amazon OpenSearch.
 * Troubleshoot complex technical issues and optimize systems for reliability and performance.