> Markdown version of [/jobs/ext/3732251-mid-level-full-stack-engineer-320k-yr-ts-sci-fs-poly](https://www.wearedevelopers.com/jobs/ext/3732251-mid-level-full-stack-engineer-320k-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 Full-Stack Engineer [$320k/yr+] TS/SCI-FS Poly - **Company:** SYSTOLIC, INC. - **Location:** Annapolis Junction, MD, United States - **Experience:** Experienced - **Salary:** $320,000.0 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Cloud Computing, Middleware, Python (Programming Language), Node.Js, Rapid Prototyping Process, TypeScript, Web Applications, Backend, Build Management, Deployment Automation, Restful APIs, Data Pipelines, Docker, Microservices - **Published:** October 14, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9236146/mid-level-full-stack-engineer-320kyr-tssci-fs-poly ## About the Role * Degree: Technical bachelor's degree or equivalent experience * Years of experience: 12+ years * Total Compensation: $320k+ yearly ## Description * Architect, develop, and maintain distributed full-stack web applications and cloud-native systems. * Build and deploy scalable microservices, REST APIs, and backend data processing pipelines. * Implement DevOps automation, Docker containerization, and automated CI/CD pipelines. * Deliver rapid prototyping and tooling capabilities to support mission-focused operations., * Develop and maintain distributed web applications and full-stack solutions using Python, JavaScript, TypeScript, and Node.js. * Architect scalable microservices, REST middleware, and backend data processing pipelines. * Deploy and manage services across cloud-native environments utilizing Infrastructure-as-Code and DevOps automation. * Create and maintain automated CI/CD pipelines to ensure secure and reliable software delivery. * Collaborate with cross-functional technical teams to integrate engineering best practices into rapid-response tooling. * Leverage AI-assisted development workflows to maximize velocity when fielding critical capabilities.