> Markdown version of [/jobs/ext/3934757-mid-level-python-engineer-306k-yr-ts-sci-fs-poly](https://www.wearedevelopers.com/jobs/ext/3934757-mid-level-python-engineer-306k-yr-ts-sci-fs-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 Engineer [$306k/yr+] TS/SCI-FS Poly - **Company:** SYSTOLIC, INC. - **Location:** Annapolis Junction, MD, United States - **Experience:** Experienced - **Salary:** $306,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Amazon Web Services, Software Applications, Confluence, JIRA, Databases, Database Models, Django Web Framework, Middleware, JSON, Python (Programming Language), MariaDB, MongoDB, Scrum Methodology, Flask (Web Framework), Backend, Git, Containerization, Data Delivery, Restful APIs, Docker, Microservices - **Published:** October 26, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9250924/mid-level-python-engineer-306kyr-tssci-fs-poly ## About the Role * Degree: Technical bachelor's degree or equivalent experience * Years of experience: 8+ years * Total Compensation: $306k+ yearly ## Description * Develop, test, deploy, and sustain backend microservices and RESTful endpoints using Python, Django, and Flask. * Manage and integrate database models stored in MongoDB and MariaDB to provide JSON-formatted data to user interfaces. * Collaborate in an Agile environment leveraging Docker containerization, AWS, Git, Jira, and Confluence., * Design, develop, test, deploy, and maintain Python-based REST endpoints and microservices using Flask and Django frameworks. * Develop capabilities to automate system security evaluation and authorization processes, continuous monitoring, and network data gathering. * Provide middleware and backend support for system applications, managing data models and data delivery. * Work with MariaDB and MongoDB databases to query, manipulate, and structure data. * Utilize Docker for application containerization and support deployments in AWS cloud environments. * Collaborate with cross-functional teams following Agile/Scrum practices using Git, Jira, and Confluence.