> Markdown version of [/jobs/ext/4260822-software-engineer](https://www.wearedevelopers.com/jobs/ext/4260822-software-engineer). 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). --- # Software Engineer - **Company:** Visionist, Inc - **Location:** Columbia, MD, United States - **Experience:** Expert - **Salary:** $165,000.0 - $209,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Static Program Analysis, Continuous Integration, Linux, Python (Programming Language), Software Engineering, Data Logging, Data Processing, Scripting, Cloud Platform System, Git, Containerization, Kubernetes, Rancher, Terraform - **Published:** October 10, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9232395/software-engineer ## About the Role Bachelor's degree in a technical discipline. (Additional 4 years of experience may substitute) - 8 years of experience in Software Engineering - Experience with Kubernetes and Rancher for production-grade infrastructure management - Knowledge of Python for application development and automation scripting - Experience with Linux systems and development - Knowledge of Git best practices and experience with CI/CD methodologies - Knowledge of cloud systems architecture design and principles ## Description Develop and maintain Infrastructure as Code using Terraform within a government-aligned AWS environment - Create and optimize CI/CD pipelines to streamline deployments and automate testing across multiple environments - Utilize Kubernetes and Rancher to manage containerized workloads and orchestrate infrastructure components - Develop Python-based applications and tools to support agentic data processing and improve AI capabilities for developers - Collaborate with partner teams to gather requirements and deliver custom solutions that meet security and compliance requirements - Execute automated agentic triage workflows, from initial issue discovery and logging through final code analysis delivery