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Aqua Security is seeking a Senior Software Architect to lead the technical architecture and execution of its next-generation AI products and shared AI capabilities. The company is a global leader in cloud-native security, helping organizations secure modern applications across containers, Kubernetes, cloud, and on-premises environments.
In this strategic and hands-on role, you will own the technical architecture from early concepts and proofs of concept through production delivery and operation. You will define and drive the architecture of Aqua's AI-powered products and shared AI capabilities across both SaaS and on-premises deployments.
Key responsibilities include:
- Design scalable backend services, APIs, data pipelines, data models, and storage solutions for AI and security workloads
- Lead architectural decisions across data ingestion, processing, retrieval, model integration, AI orchestration, and product integration
- Provide hands-on technical leadership, helping engineers resolve complex design and implementation decisions
- Design systems with clear controls for scalability, backpressure, bounded resource usage, resilience, data integrity, recovery, and observability
- Ensure solutions meet enterprise requirements for security, isolation, permissions, auditability, sensitive-data handling, and on-premises operation
- Define patterns for integrating AI models, retrieval systems, tools, workflows, and deterministic product capabilities
- Design AI-enabled workflows considering quality, latency, cost, failure handling, model limitations, and operational complexity
- Support the architecture and development of web-based AI experiences and their integration with backend services
- Evaluate technologies and conduct proofs of concept to validate feasibility, performance, scalability, security, and operational fit
- Define and document architecture standards, technical guidelines, and reusable patterns for the AI team
- Review system designs and critical implementations, and mentor engineers on architecture, backend development, data systems, and production readiness
- Collaborate with Product and Engineering to balance customer value, delivery speed, technical risk, and long-term maintainability
- Partner with other architecture and platform teams to reuse existing capabilities and maintain alignment across Aqua products
The ideal candidate combines strong backend and distributed-systems expertise with practical experience in data platforms, cloud architecture, web technologies, and AI systems.
