Were 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, youll design and build the engines, data models, and intelligent agents that simulate advanced adversaries across large-scale networks. Youll combine strong software-engineering skills with deep security intuition to create systems that mirror human attacker behaviour and discover real weaknesses before attackers do.
:Responsibilities
Design and build AI-driven agents that emulate adversarial behaviours such as lateral movement, privilege escalation, and persistence.
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).
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.
Requirements: 7+ 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.
This position is open to all candidates.