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# Security Engineer

- **Company:** NATIVE AI LLC
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software as a Service, Data Architecture, Information Leak Prevention, Relational Databases, Programming Tools, Distributed Systems, PostgreSQL, Open Web Application Security, Next.js, Software Engineering, Data Streaming, TypeScript, Reinforcement Learning, Large Language Models, Agentic-AI, Kubernetes, Graphite
- **Published:** October 27, 2026
- **Apply:** https://www.builtincolorado.com/job/security-engineer/11889224?handler=ApplyRedirect

## About the Role

* Strong experience in application and/or infrastructure security at a modern SaaS company
 * Deep understanding of common vulnerabilities (OWASP, auth flaws, data exfiltration, etc.)
 * Experience securing distributed systems and APIs
 * Comfort working in fast-moving, ambiguous environments without predefined processes
 * Pragmatic mindset: you know when to push hard on security vs. unblock shipping
 * Bonus: experience with AI/LLM security, observability systems, or developer tools

## Description

Be an Early Applicant
In-Office or Remote
Hiring Remotely in United States
Entry level
In-Office or Remote
Hiring Remotely in United States
Entry level
Design and implement security across infrastructure, applications, data, and AI systems. Own authentication, authorization, tenant isolation, secure log ingestion and querying, and AI security risk mitigation. Lead security incident response and postmortems, establish practical security practices, and partner with engineering to integrate security into development. The role requires application or infrastructure security experience, knowledge of OWASP vulnerabilities, and experience securing distributed systems and APIs.
The summary above was generated by AI
What we're building

In 2026, we're on the verge of an "infinite software crisis." How will we support, maintain, and operate the explosion in application development?

Our answer is Sazabi: the AI-native observability platform for fast-moving engineering teams.

Sazabi gives teams a single place to ask questions about their production systems in plain language, automatically visualize what's happening, and get to the root cause 10x faster. No tedious instrumentation. No dashboard configuration. No alert tuning. Just answers.

We're backed by tastemakers from the world's top AI companies: Vercel, Graphite, Daytona, Browserbase, LangChain, Mastra, Replit, and more.

What you'll do

 * Design and implement security across our entire stack (infra, app, data, and AI systems)
 * Own authentication, authorization, and tenant isolation from first principles
 * Build secure-by-default systems for log ingestion, storage, and querying
 * Identify and mitigate risks in an AI-native product (prompt injection, data leakage, model misuse)
 * Lead incident response and postmortems for security-related events
 * Establish security practices without slowing down engineering velocity
 * Work closely with engineering to embed security into everyday development-not bolt it on later, Our stack is TypeScript end-to-end. We use PostgreSQL for relational data, Temporal for durable execution, and the Vercel AI SDK to orchestrate our AI agents against the latest models. At the infrastructure layer, we use Terraform, Kubernetes, and AWS.