Staff Engineer

The role

As we scale toward our next chapter, we are looking for high-performers who want to do the best work of their careers at the intersection of AI and Cybersecurity.

We’re looking for a Staff Engineer who lives for solving the hard stuff. You’ll be the technical force multiplier—leading architecture, scaling systems, and guiding engineers to build products that help predict and prevent cyber breaches before they happen.

If you’ve been waiting for a role where you can lead bold ideas, shape product direction, and create real-world impact at global scale—this is it.

What you will do

Be the Tech Leader: Mentor engineers, champion clean code, and drive a culture of technical excellence.
Architect at Scale: Design secure, high-performance multi-tenant microservices that can handle serious load—without breaking a sweat.

What you need

What We’re Looking For

8+ years of experience as a Staff/Senior Engineer or equivalent.
Strong backend chops in Node.js, Python, Go, or similar.
Hands-on experience building APIs in TypeScript (Express is a plus).
Bonus points if you’ve played with modern frontends (React, Angular, Vue).
Deep database expertise (SQL & NoSQL), with performance tuning skills.
Proven success building on the cloud (AWS/GCP/Azure).
Containerization know-how—Kubernetes or Docker is your playground.
You’ve built and scaled platforms that handle real-world load.
Strong leadership, mentoring, and cross-functional collaboration skills.
You love tackling tough architecture challenges head-on.
Familiarity with DevOps and IaC (CloudFormation is a plus).

AI / LLM Skills

Strong working knowledge of Generative AI and LLM fundamentals, including how LLMs work, tokens, context windows, prompting, hallucinations, embeddings, and common model limitations.
Hands-on experience using AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, or equivalent, with the ability to critically review and validate AI-generated code, tests, and technical solutions.
Understanding of common LLM application patterns, including structured outputs, tool/function calling, retrieval-augmented generation (RAG), and agentic workflows.
Ability to make informed engineering decisions about when to use deterministic software, a direct LLM call, retrieval/RAG, or an agentic approach, based on the problem being solved.
Ability to define how AI-powered capabilities should be evaluated, including the use of golden datasets, appropriate accuracy metrics, regression testing, human evaluation, and LLM-as-a-judge where appropriate.
Ability to reason about production AI trade-offs, including accuracy, latency, cost, reliability, security, and observability.

If you’re passionate about cyber risk, thrive in a fast-paced environment, and want to be part of a team that’s redefining security, we want to hear from you! 🚀

Staff Engineer

The role

What you will do

Staff Engineer

The role

What you will do

What you need

What We’re Looking For

AI / LLM Skills

The Culture Memo: Our Operating System

The Perks & Ownership

About Safe Security

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