> Markdown version of [/jobs/ext/4030411-sr-principal-software-engineer](https://www.wearedevelopers.com/jobs/ext/4030411-sr-principal-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). --- # Sr. Principal Software Engineer - **Company:** Insight Global - **Location:** Round Rock, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** AI Evaluation, JavaScript (Programming Language), Mobile Application Development, Cloud Engineering, Linux, DevOps, Python (Programming Language), Windows Servers, Security Assertion Markup Language (SAML), Software Engineering, SQL Databases, TypeScript, Large Language Models, Caching, Agentic-AI, Containerization, Kubernetes, Machine Learning Operations, Devsecops, Vulnerability Analysis - **Published:** October 30, 2026 - **Apply:** https://dejobs.org/x/x/79562FA438664F37A7754908860AF32F/job/ ## About the Role This is a senior-level engineering role focused on Agentic AI Native development within a large-scale enterprise technology environment. The ideal candidate brings 10-12 years of hands-on software engineering experience and deep expertise in LLMs, agent loop engineering, MCP server development, and cloud-native container platforms. Great verbal and written communication skills are a must, as this person will partner with engineering leads, security teams, and business stakeholders to drive architectural decisions and solution adoption. Skills and Requirements 10-12 years of software engineering experience - this is a senior principal level role Must be an Agentic AI Native Developer - ability to design and develop agents, not just use them Must have experience developing and hosting MCP servers Strong proficiency in Python, TypeScript/JavaScript, and SQL Experience with Kubernetes, container platforms (KOB), and Linux/Windows Server DevOps and security tooling experience - vulnerability scanning, remediation, security integrations Agent Platform knowledge and familiarity with agent loop/spec-driven development Experience with SSO/SAML and enterprise system integrations Familiarity with LLMOps, prompt/response caching, and AI evaluation frameworks Background in DevSecOps or software supply chain security