> Markdown version of [/jobs/ext/4721020-senior-python-software-engineer-303k-yr-ts-sci-fs-poly](https://www.wearedevelopers.com/jobs/ext/4721020-senior-python-software-engineer-303k-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). --- # Senior Python Software Engineer [$303k/yr+] TS/SCI-FS Poly - **Company:** SYSTOLIC, INC. - **Location:** Annapolis Junction, MD, United States - **Experience:** Expert - **Salary:** $303,000 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Big Data, Code Review, Continuous Delivery, Distributed Systems, Human-Computer Interaction, Python (Programming Language), Grafana, Containerization, Kubernetes, Kibana, Restful APIs, Data Pipelines, Serverless Computing, Docker, Microservices - **Published:** November 14, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9310275/senior-python-software-engineer-303kyr-tssci-fs-poly ## About the Role * Degree: Technical bachelor's degree or equivalent experience * Years of experience: 14+ years * Total Compensation: $303k+ yearly (tentative) ## Description * Develop scalable back-end software services and data-intensive pipelines using Python and AWS cloud technologies. * Build RESTful microservices, containerize applications, and deploy workloads to orchestrated Kubernetes environments. * Implement monitoring dashboards and user interface features using Grafana and Kibana., * Design, develop, maintain, and enhance complex back-end software systems based on documented requirements. * Build and evolve microservices-based architectures, APIs, and communication patterns using AWS serverless technologies. * Implement services and robust data pipelines using AWS cloud and big-data technologies. * Design and implement UI features and dashboards using technologies such as Grafana and Kibana. * Implement and consume RESTful APIs to integrate back-end services with client applications and external systems. * Containerize services using Docker/Podman and deploy them to orchestrated Kubernetes environments. * Diagnose and resolve complex issues in distributed systems, including latency reduction, performance analysis, and scalability tuning. * Perform requirements analysis and synthesis from system level down to individual microservices. * Collaborate in an Agile environment, participating in code reviews, testing, and continuous delivery.