we are seeking a Hands-on Architect to design, build, and evolve the core of next-generation AI cybersecurity platform.This is not an ivory-tower role; it is for a builder at heart. You will write code, build functional prototypes, and own critical services from inception to production. This role demands a unique blend of deep, code-level execution with a broad, system-wide architectural vision that spans our entire data, cloud, and AI stack.
Responsibilities:
Rapidly code and build functional proofs of concept (PoCs) and prototypes to explore and validate new architectures, data platforms, data processing frameworks, and GenAI capabilities.
Validate technical feasibility, scalability, and business impact through working software, not just diagrams or documents.
Partner closely with engineering, product and data science teams to translate emerging technologies into production-ready, scalable systems.
Lead architecture design reviews, proactively identify scalability and performance bottlenecks, and embed security principles into the design process from day one.
Serve as a technical leader and mentor, elevating the team's skills through pair programming, in-depth code reviews, and deep-dive sessions on system design and software craftsmanship.
Requirements: 7+ years in a senior technical leadership role (e.g., Principal Architect, Staff/Lead Engineer). Demonstrated experience leading architecture in fast-moving environments, with a strong track record as a hands-on builder delivering production systems.
Proven experience architecting and operating large-scale, distributed, and data-intensive systems, with the ability to reason across end-to-end system flows, dependencies, and trade-offs. Experience in SaaS or cybersecurity domains is a strong advantage.
Deep, hands-on experience with AWS, GCP, or Azure, and strong expertise in Kubernetes and containerized environments. Ability to design for scale while maintaining simplicity, efficiency, and cost awareness.
Strong background in modern data platforms, streaming architectures, and complex event processing, including systems that handle large-scale, real-time data workloads.
Experience designing and building multi-tenant SaaS platforms with strong isolation and scalability characteristics. Familiarity with Bring Your Own Cloud or similar deployment models in enterprise environments.
Hands-on experience integrating GenAI capabilities into production systems, including RAG pipelines, agentic workflows, or LLM-based integrations.
Solid understanding of secure system design, cloud security principles, and enterprise compliance frameworks, with the ability to incorporate security into architectural decisions.
This position is open to all candidates.