Software Architect jobs in Ramat Gan

Description Aqua Security is a global leader in cloud-native security, helping organizations secure modern applications across containers, Kubernetes, cloud, and on-premises environments. As AI transforms how organizations build, operate, and secure software, Aqua is investing in the next generation of intelligent security products, including AI-powered experiences, assistants, and autonomous and semi-autonomous agents. We are looking for a Senior Software Architect to lead the architecture and technical execution of Aqua’s AI products and shared AI capabilities. This is a strategic and hands-on role for an architect who combines strong backend and distributed-systems expertise with practical experience in data platforms, cloud architecture, web technologies, and AI systems. You will own the technical architecture from early concepts and proofs of concept through production delivery and operation. You will work closely with engineers, product managers, security researchers, and architects to turn emerging AI capabilities into secure, scalable, reliable, and maintainable products across SaaS and on-premises deployments. The successful candidate will provide hands-on technical leadership, help engineers resolve complex design and implementation decisions, and ensure that the architecture supports product quality, operational simplicity, and long-term evolution. What You Will Own • Define and drive the architecture of Aqua’s AI-powered products and shared AI capabilities across SaaS and on-premises deployments. • 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. • Work closely with engineers throughout design and implementation, helping resolve complex technical decisions, trade-offs, and delivery challenges. • Provide hands-on technical leadership from early concepts and proofs of concept through production delivery and operation. • 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 with quality, latency, cost, failure handling, model limitations, and operational complexity in mind. • Support the architecture and development of web-based AI experiences and their integration with backend services and Aqua product workflows. • 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. Requirements • 8+ years of experience designing and building backend systems, including large-scale or distributed production systems. • Strong hands-on backend development experience, preferably with Python and Go. • Proven experience designing scalable APIs, services, data pipelines, and data-processing systems. • Strong knowledge of data modeling, relational databases, indexing, caching, and storage-system trade-offs. • Experience designing cloud architectures, preferably on AWS. • Experience designing products for both SaaS and on-premises deployments. • Strong understanding of Kubernetes, containers, distributed systems, networking, and modern deployment practices. • Experience designing systems for reliability, scalability, security, observability, recovery, and operational simplicity. • Experience with modern web development, including React, TypeScript or JavaScript, and npm. • Experience leading technical decisions from early concepts and proofs of concept through production delivery. • Experience driving architectural alignment across engineering, product, research, and architecture teams. • Demonstrated ability to work closely with engineers and provide practical guidance during implementation. • Excellent communication, technical documentation, and system-design skills. • Hands-on, pragmatic, and collaborative approach, with the ability to balance short-term delivery and long-term architecture. • Bachelor’s degree in Computer Science or equivalent practical experience. Nice to Have • Experience building AI, machine learning, analytics, or other data-intensive products. • Understanding of LLM-based architectures, including model integration, retrieval, tool execution, orchestration, and evaluation. • Experience designing AI-enabled workflows with cost, isolation, resilience, security, and quality controls. • Experience with vector search or similar technologies. • Experience building high-volume or near-real-time data pipelines. • Background in cloud security, cybersecurity, DevSecOps, or cloud-native products. • Experience supporting AI capabilities in restricted, disconnected, or resource-constrained on-premises environments. • Experience taking an AI or machine learning capability from early concept through production operation.

Description Who are we?​ Checkmarx is the AI-powered application security leader helping the world’s most security- conscious enterprises secure the software that powers modern life. For more than two decades, our unified platform and services have helped organizations protect human- and AI- generated code from the first line through runtime, reducing risk across applications, cloud, and the software supply chain without slowing innovation.​ ​ We’re trusted by 1,600+ customers in 70+ countries, including some of the largest enterprises and governments in the world. Guided by research-led innovation and a developer-first mindset, we help every developer, security team, and enterprise build software that is risk-free by design.​ What are we looking for?​ As we continue to evolve our platform, we're looking for an exceptional Software Architect Staff to help shape the next generation of our cloud architecture and AI-powered engineering platform. If you're passionate about solving complex distributed systems challenges, driving architectural excellence, and defining how AI transforms software engineering, we'd love to meet you. ​How will you make an impact?​ • Lead architecture and evolution of Checkmarx's cloud-native SaaS platform. • Lead the organization's transformation from a traditional Software Development Lifecycle (SDLC) to an AI-Driven Development Lifecycle (AI-DLC), defining the vision, architecture, and best practices for AI-native software engineering. • Take an active role in designing, building, and evolving Checkmarx's next-generation agentic development platform, enabling developers to leverage AI agents throughout the entire software development lifecycle. • Design highly scalable, resilient, secure, and highly available distributed systems. • Partner closely with Product Managers, Engineering Managers, Tech Leads, and development teams to translate business needs into scalable technical solutions. • Produce high-quality architecture documents, technical designs, RFCs, implementation plans, and long-term technology roadmaps. • Stay hands-on by building proof-of-concepts, validating new technologies, reviewing critical designs, and contributing to production code when needed. • Drive platform-wide improvements around scalability, reliability, observability, performance, and operational excellence. • Guide engineering teams through architectural decisions using technical leadership, collaboration, and influence. • Mentor engineers and technical leaders while promoting engineering best practices across multiple R&D teams. • Present architectural strategies and technical proposals to audiences ranging from developers to senior leadership and business stakeholders. Requirements What is needed to succeed? • 10+ years of experience designing and building large-scale distributed software systems. • Proven experience as a Software Architect, Principal Engineer, or similar technical leadership role. • Deep expertise designing and operating cloud-native SaaS platforms at scale. • Extensive hands-on experience with Amazon Web Services (AWS) and modern cloud architecture. • Strong Kubernetes expertise, including experience with technologies such as KEDA, Karpenter, and modern autoscaling strategies. • Deep understanding of distributed systems, scalability, high availability, resilience, disaster recovery, and performance optimization. • Strong knowledge of modern database technologies, data architecture, and large-scale data platforms. • Excellent architecture documentation and technical writing skills, with the ability to communicate complex ideas clearly. • Experience collaborating with Product Managers, Engineering Managers, Tech Leads, and software development teams. • Strong leadership skills with the ability to influence technical direction without direct authority. • Outstanding communication and interpersonal skills. • A hands-on mindset—you enjoy building, experimenting, validating ideas, and working directly with engineering teams. Nice to Have • Experience building AI-native systems or integrating Large Language Models into production environments. • Experience designing or implementing AI-Driven Development Lifecycle (AI-DLC) processes. • Experience building developer AI platforms, coding agents, agentic workflows, or engineering automation systems. • Experience with technologies such as Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), agent orchestration frameworks, or AI evaluation platforms. • Experience developing production software using Go, Java, Node.js, and .NET Core. • Hands-on experience with Amazon Web Services (AWS) is required. Experience with Google Cloud Platform (GCP) and Microsoft Azure is a plus. • Experience presenting architectural strategies to technical and executive audiences. • Experience designing or building enterprise-scale Data Lake platforms. What we have to offer Checkmarx offers a great work environment, professional development, challenging careers, competitive compensation, great work-life balance, as well as great benefits and perks throughout the year. Checkmarx is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, or other characteristics protected by law. ​