engineering
Added Apr 22Lead Software Architect (Platform)
IsraelOn-site
Responsibilities
- Design scalable system structures with a strong focus on data modeling, storage strategies, and high-performance workloads.
- Define architecture standards, best practices, and governance guidelines across engineering teams.
- Architect high-volume, real-time, and analytical data pipelines.
- Design and optimize schemas, indexing strategies, caching layers, and storage patterns.
- Evaluate and introduce technologies that improve scalability, performance, and observability.
- Conduct PoCs and architectural evaluations to guide long-term strategic decisions.
- Mentor engineering teams on distributed systems design, microservices patterns, and data architecture.
- Align architectural direction with business goals and product strategy.
- Design AI-enabled and agentic workflows with strong considerations for cost efficiency, isolation, resilience, and runtime safety. About the Team
Requirements
- Description Aqua Security is the leader in cloud-native security, protecting modern applications across containers, Kubernetes, serverless, and public cloud environments.
- We are seeking a highly experienced Senior Cloud Architect to join our Platform Technologies Group and shape the architectural foundation of Aqua’s SaaS Platform.
- experience designing and building large-scale distributed systems. Proven expertise in complex data architecture design (schema design, indexing, caching, governance). Strong backend development
- experience (Go, Java, or similar). Deep
- experience with modern data storage technologies (PostgreSQL, MongoDB, Elasticsearch, Kafka, ClickHouse, or similar).
- Strong understanding of microservices, event-driven systems, and SaaS architecture patterns. Hands-on
- experience in cloud-native environments (Docker, Kubernetes, AWS/GCP/Azure).
- Experience leading architectural alignment across multiple engineering teams.
- Strong understanding of modern AI-driven architectures, including LLM orchestration, tool execution frameworks, and runtime safety considerations.
- Ability to design AI-enabled systems with performance, isolation, and resilience at scale.