looking for a Software Architect to lead the technical evolution of our next-generation AI cybersecurity platform. You'll work across teams to solve the company's most challenging architectural problems while remaining deeply hands-on – building prototypes, validating new technologies, and helping engineering teams deliver production-ready solutions. The role requires both deep engineering expertise and the ability to shape the architecture of large-scale data, cloud, and AI systems that power our platform.
What Youll Do
Responsibilities:
Partner with engineering teams to solve complex architectural and technical challenges, leading the design of scalable, secure, and maintainable systems.
Build and validate proofs of concept (PoCs) to evaluate new architectures, data platforms, AI capabilities, and emerging technologies.
Drive technical direction across engineering, product, and data science, turning new technologies into production-ready solutions.
Lead architecture and design reviews, ensuring scalability, reliability, security, and operational excellence.
Mentor engineers through hands-on collaboration, code reviews, and system design discussions while promoting AI-native engineering practices.
Requirements:
7+ years in a senior technical leadership role (Principal Architect, Staff Engineer, Lead Engineer, or equivalent), with a strong track record designing and delivering large-scale distributed systems and cloud-native architectures in production.
Strong background in cybersecurity and secure system design, including cloud security principles and enterprise compliance frameworks; experience in SaaS or cybersecurity products is a significant advantage.
Deep, hands-on experience with AWS, GCP, or Azure, and strong expertise in Kubernetes and containerized environments, with the ability to design for scale while maintaining simplicity and cost awareness.
Strong background in modern data platforms, streaming architectures, and complex event processing for large-scale, real-time workloads.
Hands-on experience integrating GenAI capabilities into production systems – RAG pipelines, agentic workflows, or LLM-based integrations – and familiarity with AI-native engineering practices, including coding agents.
Experience designing multi-tenant SaaS platforms with strong isolation and scalability, and excellent communication skills to influence architecture across engineering, product, and data science.
7+ years in a senior technical leadership role (Principal Architect, Staff Engineer, Lead Engineer, or equivalent), with a strong track record designing and delivering large-scale distributed systems and cloud-native architectures in production.
Strong background in cybersecurity and secure system design, including cloud security principles and enterprise compliance frameworks; experience in SaaS or cybersecurity products is a significant advantage.
Deep, hands-on experience with AWS, GCP, or Azure, and strong expertise in Kubernetes and containerized environments, with the ability to design for scale while maintaining simplicity and cost awareness.
Strong background in modern data platforms, streaming architectures, and complex event processing for large-scale, real-time workloads.
Hands-on experience integrating GenAI capabilities into production systems – RAG pipelines, agentic workflows, or LLM-based integrations – and familiarity with AI-native engineering practices, including coding agents.
Experience designing multi-tenant SaaS platforms with strong isolation and scalability, and excellent communication skills to influence architecture across engineering, product, and data science.
This position is open to all candidates.
