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.

We’re building the next generation of autonomous cybersecurity technology - systems that think like attackers to continuously uncover security gaps in enterprise environments.

As a Senior Engineer in our Attack Simulation Platform team, you’ll design and build the engines, data models, and intelligent agents that simulate advanced adversaries across large-scale networks. You’ll combine strong software-engineering skills with deep security intuition to create systems that mirror human attacker behaviour and discover real weaknesses before attackers do.

• Develop core simulation and orchestration components in Go (primary language) and integrate with in-house AI models.
• Model and simulate attack paths across complex enterprise environments (identity, endpoint, network, and cloud).
• Design and build AI-driven agents that emulate adversarial behaviours such as lateral movement, privilege escalation, and persistence.
• Collaborate with red-teamers, researchers, and data scientists to translate threat intelligence and real attack TTPs into executable logic.
• Contribute to architecture decisions, scalability, and performance optimization for distributed simulations.

• 5+ years of hands-on software engineering experience in a modern language (Go preferred; Python, Node.js, or C++ also great).
• Strong cybersecurity engineering background - Deep understanding of attacker TTPs, lateral movement, privilege escalation, credential abuse, and network exploitation.
• Familiarity with enterprise security environments (Active Directory, cloud infrastructure, EDR/XDR, network segmentation).

Advantages:

• Experience building AI/ML-driven systems or agent-based simulations.
• Experience as a red teamer, penetration tester, or security researcher.
• Knowledge of graph modelling or graph databases (e.g., Neo4j) for attack-path representation.

If you think this role doesn't fully match your skills but are eager to grow and break glass ceilings, we’d love to hear from you!