Staff Engineer
About This Role
Safe is a $170M Series C-funded company that has built an AI-driven engine giving boards and executives a clear, quantified, real-time view of their cyber risk posture. The company serves 10% of the Fortune 500, including organizations like Apple, Netflix, AT&T, Verizon, and Victoria's Secret, and operates at the highest levels of the global enterprise market rather than the mid-market.
What You'll Be Doing
Lead architecture decisions for systems that need to scale
Guide and mentor engineers across the team
Help build products focused on predicting and preventing cyber breaches
Shape technical and product direction at a company operating at enterprise scale
What We're Looking For
A Staff-level engineer who enjoys solving hard technical problems
Someone comfortable owning problems end-to-end, without waiting to be told what falls under their responsibility
Someone who holds their own work, and the work of others, to a high standard of quality, given that Safe serves some of the most sophisticated companies in the world
A disciplined approach to engineering work, relying on data-driven sprints rather than improvisation
Comfort with direct, honest feedback as part of a fast-moving team
Someone who can thrive in a high-intensity, mission-driven environment with the stability of a well-funded company but the pace of a startup
Why Join Us
Meaningful equity—every employee is a shareholder in the company's success
Unlimited leave, based on trust rather than clock-watching
Comprehensive benefits, including top-tier medical insurance and wellness coverage
Career advancement that moves at the pace of individual performance, within a company that is growing aggressively
Requirements
🧩 What You’ll 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. Code Like a Pro: Conduct deep-dive code reviews and stay hands-on when it matters most. Master the Cloud: Architect smart solutions using AWS (Lambda, API Gateway, EC2, S3, RDS—you name it). Solve Complex Problems: Debug, diagnose, and dismantle architectural challenges with finesse. Collaborate & Influence: Work closely with Product, Design, and GTM teams to align tech with business. Drive Delivery: Own the roadmap, lead execution, and ensure on-time, high-quality releases. Innovate Constantly: Introduce and champion new tools, patterns, and practices that elevate our engineering game. 💡 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.
About Safe Labs
Safe Labs is an innovative Berlin-based Web3 company at the forefront of secure digital asset management. We're building the foundational infrastructure for a truly decentralized future, empowering users and organizations with robust, self-custodial solutions. Our flagship products leverage advanced smart contract technology to provide unparalleled security and control over digital assets, setting new industry standards in the blockchain space. We believe in open-source principles and contribute actively to the wider Web3 ecosystem, fostering collaboration and driving technological advancement. Our culture at Safe Labs is defined by intellectual curiosity, a passion for decentralization, and a commitment to excellence. We foster a collaborative, results-driven environment where every team member is encouraged to push boundaries, experiment with novel approaches, and contribute to meaningful impact. We value diverse perspectives and believe that the best solutions emerge from a melting pot of ideas and expertise within the blockchain and crypto domains. Join Safe Labs and become part of a pioneering team shaping the future of secure digital finance. If you're a talented individual passionate about blockchain technology, distributed systems, and user empowerment, we offer an unparalleled opportunity to work on cutting-edge projects with global impact. Contribute to building the secure layer of Web3 and help us define the next generation of decentralized applications and infrastructure.
Ready to Apply?
To submit your application for this position, please visit Safe Labs's official website and follow their application process.