> Markdown version of [/jobs/ext/2941700-mid-level-cloud-software-engineer-320k-yr-ts-sci-fs-poly](https://www.wearedevelopers.com/jobs/ext/2941700-mid-level-cloud-software-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 Cloud Software 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:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Databases, Elasticsearch, Identity and Access Management, Octopus Deploy, Prometheus, Datadog, Large Language Models, Grafana, Kubernetes, Kibana, Terraform, Docker
- **Published:** September 16, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9166761/mid-level-cloud-software-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

* Lead the design, deployment, and maintenance of cloud infrastructure supporting AI capabilities
 * Architect and manage AWS, Kubernetes, Terraform, Docker, and Helm configurations
 * Implement robust observability tooling including Prometheus, Grafana, and Kibana
 * Support the deployment and scaling of LLM inference frameworks and vector databases, * Lead the design, deployment, and maintenance of cloud infrastructure used by AI capabilities in AWS and Kubernetes environments
 * Translate high-level stakeholder goals into scalable engineering outcomes and platform solutions
 * Define structured solutions within ambiguous problem spaces for team execution
 * Mentor engineers and foster engineering standards, development best practices, and technical governance
 * Establish and enforce cloud-native security practices for infrastructure and data, including certificate and identity management
 * Build and maintain CI/CD pipelines using Argo CD and containerized workflows
 * Configure and maintain monitoring and observability suites using Elastic Stack, Grafana, and Prometheus
 * Support emerging AI technologies, including inference serving frameworks and vector database systems