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: Seniority: 7+ years in a senior technical leadership role (e.g., Principal Architect, Staff/Lead Engineer). Your track record as a 'builder' and system designer is more important than your title.
System-Wide View: Proven experience architecting, building, and operating large-scale, distributed, and data-intensive systems (cybersecurity preferred).
Hands-on Cloud & Platform: Deep, hands-on expertise with at least one major cloud (AWS, GCP, or Azure) and mastery of Kubernetes and container orchestration.
Data Systems Master: Strong background in modern data platforms, real-time event processing, data pipelines and Complex Event Processing.
Pragmatic AI/GenAI: Proven experience integrating GenAI systems (e.g., RAG, agentic frameworks, LLM orchestration) into a production environment.
Programming & Tools:
Strong programming proficiency in Python, Go, or Java.
Hands-on experience with Kafka, Flink, OpenSearch, Apache Iceberg, and related ecosystem tools.
Familiarity with modern CI/CD workflows, Kubernetes, observability stacks, and infrastructure-as-code practices.
This position is open to all candidates.