Arize AI
DevSecOps Engineer (TypeScript & Agentic AI)
About this role
Arize AI, a Series C AI observability platform, is seeking a DevSecOps Engineer to embed security throughout their TypeScript-based infrastructure and agentic AI systems. You'll design guardrails for AI agents, build internal security tooling, and partner cross-functionally to ensure safe deployment of autonomous systems in a collaborative, enablement-focused environment.
What you'll do
- Design and implement security guardrails for agentic AI workflows including sandboxing, prompt-injection defenses, and runtime policy enforcement
- Build internal TypeScript tooling such as SDKs, CLI utilities, GitHub Actions, and developer dashboards to make secure practices frictionless
- Threat-model new features with product teams, particularly those involving LLM integrations and autonomous agents
- Integrate and tune SAST, DAST, SCA, and secret scanning into pull-request workflows with low-friction feedback
- Lead security incident response and produce blameless postmortems that improve systems
- Mentor engineers across the organization on secure coding patterns and LLM/agent-specific security risks
What they're looking for
- DevSecOps / Application Security (4+ years)
- TypeScript and Node.js ecosystem
- Cloud infrastructure security (AWS, GCP, or Azure)
- Kubernetes and container security
- CI/CD tooling (GitHub Actions) and Infrastructure as Code (Terraform, Pulumi)
- Agentic AI systems and LLM frameworks (LangGraph, OpenAI, Anthropic SDKs)
- SAST/DAST/SCA tooling and secret scanning
- Threat modeling and incident response
Benefits
- Remote/Hybrid work in Southern California
- Collaboration-first, enablement-over-enforcement culture
- Work on cutting-edge agentic AI security challenges
- Senior team with strong focus on developer experience
- Opportunity to shape emerging security patterns for AI systems
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Arize AI
Arize AI builds observability and evaluation solutions for production generative AI systems, helping enterprise customers monitor and secure their AI deployments. The company is hiring Forward Deployed AI Engineers to implement these solutions directly with clients, DevSecOps Engineers to secure AI infrastructure, and AI Sales Engineers to guide enterprise customers through technical evaluations and deployments.
- Website
- arize.ai
Likely interview questions
- Walk us through a time you designed security controls for a CI/CD pipeline. How did you balance developer friction against security requirements?
- Describe your hands-on experience with agentic AI systems — what agent frameworks have you worked with, and what security concerns do you think are most critical when autonomous agents call external tools?