> Markdown version of [/jobs/ext/3931287-entry-level-cloud-software-engineer-186k-yr-ts-sci-fs-poly](https://www.wearedevelopers.com/jobs/ext/3931287-entry-level-cloud-software-engineer-186k-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). --- # Entry-Level Cloud Software Engineer [$186k/yr+] TS/SCI-FS Poly - **Company:** SYSTOLIC, INC. - **Location:** Annapolis Junction, MD, United States - **Experience:** Starter - **Salary:** $186,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Agile Methodology, Amazon Web Services, Microsoft Azure, C++ (Programming Language), Cloud Computing, Cloud Engineering, Continuous Integration, Linux, DevOps, Python (Programming Language), Ansible, Software Deployment, Software Engineering, Software Systems, Delivery Pipeline, Containerization, Infrastructure Automation Frameworks, Data Analytics, Terraform, Docker - **Published:** October 26, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9260372/entry-level-cloud-software-engineer-186kyr-tssci-fs-poly ## About the Role * Degree: Technical bachelor's degree or equivalent experience * Years of experience: 0+ years * Total Compensation: $186k+ yearly * Active TS/SCI clearance with polygraph ## Description * Develop, integrate, and deploy scalable cloud-native applications supporting large-scale compute and data analytics platforms. * Collaborate within an Agile development team to build secure and reliable software capabilities across enterprise cloud environments. * Perform requirements analysis, software development, maintenance, and system issue diagnosis., * Design, develop, test, and deploy cloud-native software solutions using Java, Python, or C++. * Operate and configure software within Linux-based operating systems. * Support containerization and orchestration efforts utilizing technologies such as Docker and Kubernetes. * Assist with CI/CD automation pipelines and DevOps practices to facilitate reliable application deployment. * Leverage Infrastructure as Code tools such as Terraform or Ansible in cloud platforms like AWS or Azure. * Diagnose, troubleshoot, and resolve software problems to maintain optimal system performance.