Principal Software Engineer (Cloud)

Responsibilities

• Lead designs of scalable, backend systems powering our AI-native cybersecurity platform.
• Drive complex technical initiatives from 0→1, including system design, technical strategy, implementation, and operationalization.
• Partner closely with product, AI, security, and platform teams to translate ambiguous business and customer problems into elegant technical solutions.
• Lead critical design discussions and provide technical leadership across multiple engineering domains and initiatives.
• Identify and proactively address technical risks, scalability bottlenecks, and operational challenges before they impact the business.
• Improve system observability, reliability, testing, deployment workflows, and operational excellence across the engineering organization.
• Help shape the engineering culture by promoting high standards for execution, craftsmanship, collaboration, and ownership.
• Mentor and develop engineers through technical guidance, design reviews, and hands-on collaboration.
• Work effectively in a rapidly evolving environment where priorities and technical challenges evolve quickly.

Requirements

• 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.
• Demonstrated experience leading complex technical projects with significant ambiguity and cross-functional coordination.
• Excellent proficiency in one or more backend programming languages such as Rust, Python, TypeScript or Go.
• Expertise and proven track record of building systems on modern cloud platforms such as AWS, GCP, or Azure.
• Strong communication skills with the ability to explain complex technical concepts clearly to both technical and non-technical audiences.
• Comfortable and curious working with AI-assisted development tools such as Claude Code, Codex or Cursor.

Preferred Qualifications

• Experience building AI-native products or integrating LLM/agent-based systems into production environments.
• Background in cybersecurity, security operations, or high-sensitivity infrastructure environments.
• Experience designing multi-tenant SaaS platforms at scale.
• Familiarity with real-time data pipelines, streaming systems, and large-scale telemetry processing.
• Experience working in high-growth startup environments.
• Track record of building and scaling engineering teams, processes, and technical culture.