Software Engineer II, AI Security

Tanium•Durham, NC

2h•$154,000 - $236,000

About The Position

Tanium is hiring a Software Engineer II to help build an AI Security solution that enables large enterprises to secure AI agents and the endpoints they run on. This full-stack role emphasizes backend engineering and involves designing and developing high-scale, distributed systems that provide customers visibility into and control over agentic AI across their environments. The role calls for building reliable, performant services at scale, applying security principles, and working with technologies used by AI agents and agent harnesses, including LLM integrations, tool-calling frameworks, and the Model Context Protocol (MCP). The engineer will build services and integrations using LLM APIs, tool-calling frameworks, and MCP, and develop retrieval-augmented generation (RAG) and data pipelines. They will contribute to Tanium products with an agile team, develop and test product ideas from the ground up with product management input, and work on common components and higher-level services supporting security, operations, and auditing. This includes services for consolidating endpoint data, handling time-series data for dashboards and reporting, and exposing data externally through GraphQL. The position also involves using AI coding assistants and agent tooling in daily development, and exercising sound judgment when reviewing, refactoring, and debugging AI-generated code. Tanium describes itself as the Autonomous IT company and emphasizes collaboration, respect, and diversity. The position is full-time, with an annual base salary range of $154,000 to $236,000, plus equity awards and benefits.

Requirements

At least 3 years of industry software engineering experience.
Experience designing and building high-impact, high-performance, scalable, observable, and maintainable backend services and APIs.
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 serving large user bases, such as millions of users.
Knowledge of at least one of Golang, Node.js, Python, Ruby, or Rust.
Experience with React, TypeScript, JavaScript, and other front-end technologies and frameworks.
Ability to work with relational databases such as Postgres, SQL, or MySQL.
Experience with HTTP API design and development.
Experience with modern software engineering and automation tools such as Git and Jenkins.
Sound judgment in balancing rapid development with long-term code maintainability and supportability.
Belief in the importance of writing automated tests as part of development.
Strong debugging skills, including the ability to respond to production issues under pressure.
Knowledge of modern server-side and browser-side software frameworks and versatility to learn new tools.
Ability to prompt AI coding tools effectively and read, understand, refactor, and debug the resulting code regardless of language.

Nice To Haves

Bachelor's degree in Computer Science or a related field, or equivalent experience; the degree is preferred.
Golang knowledge is preferred.
Foundation in security principles, such as secure design, authentication and authorization, and threat modeling.

Responsibilities

Contribute to the design and development of 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).
Design retrieval-augmented generation (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.
Build and maintain Tanium products alongside an agile development team.
Design, develop, and test new product ideas from the ground up, working with product management for feedback and input.
Work on small teams building common components, including services that unify and consolidate endpoint data, handle time-series data for dashboards and reporting, and expose data externally through GraphQL.
Deliver higher-level services enabled by core services that support products and address security, operations, and auditing.