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 the architecture and evolution of our cloud-native SaaS platform.
Own the architectural vision and technical roadmap for our enterprise Data Lake.
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 our 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.
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 designing or building enterprise-scale Data Lake platforms.
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 המשרה מיועדת לנשים ולגברים כאחד.
