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Director of Software Engineering

Discovered MENA
Dubai, UAE
Full Time
Director
Remote
3 days ago
Software Engineering LeadershipArchitectureAI Platform DevelopmentIndustrial Protocol DecodingModbusS7Comm
Free

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Software Engineering LeadershipArchitectureAI Platform Development
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About the company

  • Our client is a high growth, venture backed cybersecurity pioneer that builds sovereign AI platforms and hardware appliances to protect global critical infrastructure and operational technology (OT) environments.

Location & Leadership Level

  • Location: Dubai/ Bangalore | remote role
  • Leadership Level: VP/ Director, Founding level Engineering Leader
  • Reporting to: Chief Executive Officer (CEO)
  • Compensation: Competitive Base + Equity

The Opportunity

  • We are seeking an engineering leader to take over the entire engineering organization. In this founding level role, you will own architecture, delivery, quality, and team scaling end to end.

What You Will Own

  • Own the technical direction across the AI platform and physical appliance lines. Establish rigorous release cadences, robust versioning, and pristine UAT/production environment separations.
  • Oversee the data path for passive monitoring, industrial protocol decoding (e.g., Modbus, S7Comm, IEC 60870 5 104), and MITRE ATT&CK mapping.
  • Drive appliance hardening, TPM based device identity, full disk encryption, and compliance acceleration tooling across frameworks like IEC 62443 and ISO 27001.
  • Lead, and rapidly scale a high performing, distributed global engineering team.

What We Are Looking For

  • 10–15+ Years of Engineering Excellence: A proven track record of leadership where you have owned delivery and organizational growth, not just architecture.
  • Strong roots in OT/ICS security OR a heavy enterprise detection/security background (e.g., CrowdStrike, Palo Alto, SentinelOne) with a strong command of industrial protocols.
  • Thrives in a lean, fast paced environment where your impact is direct and your mandate is broad.

Strong Pluses

  • Applied AI or on device, resource constrained GPU inference experience.
  • A background in SIEM, detection engineering, or SOC tooling.
  • Familiarity with sovereign deployment requirements or critical infrastructure environments.

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