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Solution Architect

Dream Security

Dream Security

IT
Tel Aviv-Yafo, Israel
Posted on Jan 14, 2026

Solution Architect

  • Business
  • Tel Aviv

Description

At Dream, we redefine cyber defense vision by combining AI and human expertise to create products that protect nations and critical infrastructure. This is more than a job; It’s a Dream job. Dream is where we tackle real-world challenges, redefine AI and security, and make the digital world safer. Let’s build something extraordinary together.

Dream's AI cybersecurity platform applies a new, out-of-the-ordinary, multi-layered approach, covering endless and evolving security challenges across the entire infrastructure of the most critical and sensitive networks. Central to our Dream's proprietary Cyber Language Models are innovative technologies that provide contextual intelligence for the future of cybersecurity.

At Dream, our talented team, driven by passion, expertise, and innovative minds, inspires us daily. We are not just dreamers, we are dream-makers.

The Dream Job

Dream is seeking a skilled and adaptable Solution Architect to lead deep technical engagements during both pre-sales and post-sales phases. You will ensure seamless deployment, resolve complex technical issues, and deliver long-term value to customers through Dream’s AI-powered cybersecurity platform.

This role also includes ownership of lab environments to simulate customer use cases, validate solutions, and support internal testing and demos—making it a key technical bridge between Product, Engineering, and Customer Success.

The Dream-Maker Responsibilities

  • Build and maintain strong relationships with customers, serving as a trusted technical advisor to understand and address their needs, challenges, and goals.
  • Collaborate with internal teams, including R&D and Product, to align customer feedback with roadmap priorities and platform improvements.
  • Lead the technical aspects of Proof of Concepts (PoCs) and guide customers through pre-deployment readiness.
  • Drive post-sales success by resolving complex issues, optimizing deployments, and identifying opportunities to improve security posture.
  • Deliver technical enablement and training sessions for customer teams to ensure strong adoption and platform fluency.
  • Stay informed on the latest in cybersecurity, infrastructure, AI, and cloud technologies to continuously elevate customer outcomes.
  • Lab Environment Ownership: Responsible for designing, maintaining, and automating lab environments that simulate real world customer deployments to test product features, validate integrations, demonstrate the Dream platform, and support cross-functional testing and customer issue replication.

The Dream Skill Set

  • Experience: 2+ years in a customer-facing technical role. 5+ years of hands-on experience with DevOps technologies and Experience with cybersecurity technologies.
  • Cloud & Infrastructure Proficiency: Experienced in cloud and on-prem environments with strong knowledge of AWS services, networking, security best practices, and container orchestration using ECS or EKS.
  • Cybersecurity: Skilled in core cybersecurity technologies and practices, including SIEM, EDR, threat intelligence, detection techniques, and vulnerability management.
  • Networking Proficiency: Deep understanding of network protocols, security principles, firewalls, and network-based threat analysis.
  • Scripting & Automation: Proficient in Python, Bash, or Go with hands-on experience in infrastructure automation using tools like Ansible.
  • Lab Environment Management: Experienced in designing and maintaining lab environments to simulate real-world customer deployments and scenarios.
  • Virtualization & Infrastructure Tools: Skilled in using VMware (ESXi/vSphere), Terraform, and lightweight Kubernetes platforms for infrastructure provisioning and testing.
  • Additional Core Skills: Strong problem-solving, executive communication, cross-functional collaboration, and a customer-focused approach to delivering real-world impact.
  • Willing to travel

Advantages:

  • Hands-on experience in the cybersecurity landscape
  • Background in MLOps or any AI-related workflows