4+ years of hands-on experience in DevSecOps, application security, or platform security roles
Strong working knowledge of TypeScript and the Node.js ecosystem
Practical experience securing cloud infrastructure (AWS, GCP, or Azure), containers, and Kubernetes
Fluency with modern CI/CD tooling (GitHub Actions, or similar) and IaC (Terraform, Pulumi)
Genuine curiosity about — and ideally hands-on experience with agentic AI systems: LLM tool use, function calling, MCP, agent frameworks (LangGraph, OpenAI Agents SDK, Anthropic SDK, etc.), and the emerging security patterns around them
A collaboration-first mindset. You write clearly, give feedback kindly, and would rather pair on a problem than throw a Jira ticket over the wall
Comfort with ambiguity — the security playbook for agentic systems is being written in real time, and you want to help write it
Experience with prompt-injection research, LLM red-teaming, or AI safety/evals work
Contributions to open-source, especially in the TypeScript or AI or Security ecosystems
Familiarity with SOC 2, ISO 27001, or similar compliance frameworks — and opinions on how to satisfy them without crushing engineering velocity
Background in incident response or detection engineering at a fast-moving company
The estimated annual salary for this role is between $150,000 - $200,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support
While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces
More About Arize
Arize’s mission is to make the world’s AI work—and work for people
Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale
Diversity & Inclusion @ Arize
Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture
Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI
Culturally conscious events such as LGBTQ trivia during pride month
We have an active Lady Arizers subgroup