> Markdown version of [/jobs/ext/2945328-junior-python-software-engineer-220k-yr-ts-sci-fs-poly](https://www.wearedevelopers.com/jobs/ext/2945328-junior-python-software-engineer-220k-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). --- # Junior Python Software Engineer [$220k/yr+] TS/SCI-FS Poly - **Company:** SYSTOLIC, INC. - **Location:** Annapolis Junction, MD, United States - **Experience:** Starter - **Salary:** $220,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Elasticsearch, Python (Programming Language), Octopus Deploy, Reliability Engineering, Prometheus, AI Infrastructure, Large Language Models, Grafana, Backend, Kubernetes, Deployment Automation, Docker - **Published:** September 16, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9166756/junior-python-software-engineer-220kyr-tssci-fs-poly ## About the Role * Degree: Technical bachelor's degree or equivalent experience * Years of experience: 3+ years * Total Compensation: $220k+ yearly ## Description * Build and maintain AI infrastructure and scalable inference pipelines to host and serve LLMs. * Develop in-house services to ensure reliable, high-quality model availability across the organization. * Implement observability, containerization, and automated deployments within cloud and Kubernetes environments., * Procure, configure, and test new inference models and prepare them for production use. * Develop backend services and tools using Python to support the model-serving ecosystem. * Deploy, manage, and scale applications using Kubernetes, Helm, and AWS infrastructure. * Build reliable pipelines for model integration using serving frameworks like vLLM or LiteLLM. * Maintain CI/CD pipelines using Argo CD or similar automation frameworks. * Monitor system health, performance, and traffic shaping using Docker, Elasticsearch, Prometheus, and Grafana. * Apply Site Reliability Engineering (SRE) best practices to maintain high service availability and platform resilience.