Principal Software Engineer (Cloud)

An AI-native cybersecurity platform is only as trustworthy as the systems it runs on. Get the foundation wrong and every AI agent built on top inherits that risk. As a Principal Software Engineer, you'll help define the technical foundation of our AI-native cybersecurity platform. You'll lead system design, drive complex technical initiatives from concept to production, and mentor engineers across the organization. You'll partner closely with engineering, product, design, AI, and security teams to turn hard, ambiguous problems into solid technical solutions. This is a 0→1 role for someone who wants real influence over both the technology and the engineering culture.

- Lead design of scalable backend systems for our AI-native cybersecurity platform.

- Drive complex technical initiatives from 0→1, including system design, technical strategy, implementation, and operationalization.

- Partner with product, AI, security, and platform teams to turn ambiguous business and customer problems into solid technical solutions.

- Lead design discussions and provide technical leadership across multiple engineering domains and initiatives.

- Identify and address technical risks, scalability bottlenecks, and operational challenges before they affect the business.

- Improve system observability, reliability, testing, deployment workflows, and operational excellence across engineering.

- Help shape engineering culture by promoting high standards for execution, craftsmanship, collaboration, and ownership.

- Mentor engineers through technical guidance, design reviews, and hands-on collaboration.

- Work effectively in a fast-changing environment where priorities and technical challenges shift quickly.

- 15+ years of professional software engineering experience building and operating production-grade distributed systems.

- Proven experience leading the design and delivery of large-scale, highly available cloud-native systems.

- Strong system design expertise, including distributed systems, APIs, event-driven architectures, data-intensive applications, and infrastructure scalability.