Why Join Us?
Lead high-impact architectural initiatives across customer-facing solutions and core product platforms, defining technical vision, system design, and unified architectural standards. Own end-to-end architecture – including the use of cutting-edge GenAI technologies, performance, security, scalability, and cost optimization – while working closely with cross-functional teams and customers.
This is a high-impact role influencing how Jeen builds, scales, and delivers software across the entire company.
Key Responsibilities
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Own end-to-end architecture across Jeen’s platforms, services, and domains.
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Lead solution design and cross-company architectural decisions.
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Own multi platform architecture, including scalability, resilience, security, observability, and cost optimization.
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Define and govern AI integration (ADLC), architectural patterns, and guardrails using cutting-edge GenAI technologies.
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Design and lead advanced GenAI architectures (RAG, embeddings, vector databases, GPU and inference performance).
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Build and evolve the Engineering Platform (templates, paved roads, tooling, SDKs).
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Establish unified reference architecture and cross-organization standards.
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Own architectural roadmap, balancing performance, operations, security, compliance, and cost (COGS).
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Lead customer-facing architectural initiatives and define technical vision.
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Collaborate across engineering, product, DevOps, security, data teams, customers, and partners.
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Mentor senior engineers and promote best practices.
Requirements
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4+ years of experience in architecture or technical leadership, and 6+ years of software development experience
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Strong experience with cloud platforms (AWS, GCP, Azure) and security, including serverless, microservices, and data pipelines
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Hands-on experience with DevOps tools (CI/CD pipelines, Kubernetes, OpenShift, Docker, etc.)
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Practical experience working with AI/ML, including integration of AI-based productivity tools
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Proven ability to lead, mentor, and make complex technical decisions
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Full professional proficiency in Hebrew and English
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Experience deploying SaaS or on-prem solutions to enterprise customers
Preferred Qualifications
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Deep understanding of data engineering and analytics
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Experience with automation tools (n8n, Zapier, LangFlow).
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Experience with multi-modal generative models (text, image, audio).
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Previous hands-on software development experience (e.g., Python, TypeScript, Node.js)