# Senior Software Engineer, AI Security at Tanium

> Hybrid · United States · Senior · Security · open. Source: https://alderhq.app/jobs/greenhouse%3Atanium%3A8357200 (read 2026-11-06).

## Facts (observed)

- Company: [Tanium](https://alderhq.app/companies/tanium)
- Location text: Addison, TX (Hybrid); Bellevue, WA (Hybrid); Durham, NC (Hybrid); Emeryville, CA (Hybrid); Durham, NC Office
- Where it can be done from (inferred): Hybrid · United States (evidence: "Location: Addison, TX (Hybrid); Bellevue, WA (Hybrid); Durham, NC (Hybrid); Emeryville, CA")
- Posted: 2026-11-06 (0 days ago)
- First seen by alder: 2026-11-06 · last verified: 2026-11-06
- Reposted: 0 times · edited: 1 times
- Apply on the employer's site: https://job-boards.greenhouse.io/tanium/jobs/8357200
- Skills listed (inferred): Python, Go, Java, C++, AWS, GCP, Azure, LLMs, Distributed systems

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (Seattle, n 24): p25 $179k, median $203k, p75 $216k

## Description (the employer's text)

### Summary/Objectives

Tanium is seeking a Senior Software Engineer to help build a new AI Security solution that enables the world's largest enterprises to secure AI agents and the endpoints they run on. In this full-stack role with a strong emphasis on backend engineering, you will design and develop high-scale, distributed systems that give customers visibility into and control over agentic AI across their environments. The ideal candidate brings a deep understanding of building reliable, performant services at scale, a strong foundation in security principles, and hands-on familiarity with the technologies that power AI agents and agent harnesses, such as LLM integrations, tool-calling frameworks, and the Model Context Protocol. This is an opportunity to shape a product at the forefront of AI security and make a significant impact at a company dedicated to transforming how organizations manage and secure their technology environments.

### Essential Job Functions

- Design and develop high-scale, distributed backend systems that give customers visibility into and control over agentic AI across their environments
- Build services and integrations using LLM APIs, tool-calling frameworks, and the Model Context Protocol (MCP), and design retrieval (RAG) and data pipelines that support AI-driven capabilities
- Use AI coding assistants and agent tooling effectively in day-to-day development, and review, refactor, and debug AI-generated code with sound judgment
- Design and develop robust, scalable, and maintainable software features and systems across the full software development lifecycle
- Architect technical solutions that meet complex product requirements while balancing performance, reliability, and security considerations
- Collaborate with product management, UX, and peer engineers to define requirements, estimate effort, and deliver high-quality solutions on schedule
- Lead code reviews and provide constructive technical feedback to elevate engineering standards and promote best practices across the team
- Identify, troubleshoot, and resolve complex software defects and performance bottlenecks in both development and production environments
- Mentor and support the growth of junior and mid-level engineers through knowledge sharing, pairing, and technical guidance
- Contribute to the continuous improvement of engineering processes, tooling, and development practices to increase team velocity and code quality
- Partner with security and infrastructure teams to ensure software is developed and deployed in alignment with Tanium's security and compliance standards
### Minimum & Preferred Job Qualifications

- Education
- Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent experience
- Experience
- 8+ years of professional software engineering experience building and shipping production-quality software
- Demonstrated experience designing and implementing distributed systems or large-scale, high-availability applications
- Experience building and shipping AI-powered products or agents at scale, including LLM integrations and tool-calling
- Hands-on experience building a Model Context Protocol (MCP) server or integration that ran in a production environment
- Experience building retrieval-augmented generation (RAG) and the data pipelines that support it
- Experience building backend services and enterprise web applications that serve large user bases (for example, millions of users)
- Experience with the full software development lifecycle, including requirements analysis, design, implementation, testing, and deployment
- Preferred: Experience working in a cybersecurity, SaaS, or enterprise software environment
- Preferred: Foundation in security principles, such as secure design, authentication and authorization, and threat modeling
- Preferred: Familiarity with cloud infrastructure platforms such as AWS, Azure, or Google Cloud
- Other
- Proficiency in one or more modern programming languages such as Go, C++, Java, Python, or similar
- Ability to prompt AI coding tools effectively and to read, understand, refactor, and debug the resulting code, regardless of language

---
Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Atanium%3A8357200 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.