Jobs › Companies › TENEX.AI › Forward Deployed Implementation Engineer (Dubai)

Sobre este puesto de Forward Deployed Implementation Engineer (Dubai) en TENEX.AI

TENEX.AI · Remoto · Remote-UAE

Company Overview

TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR) provider. We combine cutting-edge AI with human expertise to deliver security operations that are better, faster, and more cost-effective than traditional approaches.

We're a fast-growing startup backed by industry experts and top-tier investors led by Crosspoint Capital. Our team is mission-driven, customer-obsessed, and building something that matters — a new standard for how security operations should work.

Culture is one of the most important things at TENEX.AI — explore our culture deck at culture.tenex.ai to witness how we embody our values every day.

About the Role

As a Forward Deployed Implementation Engineer at TENEX, you are the engine that gets customers live. You will execute end-to-end platform deployments, onboard log sources, load TENEX's library of security content, and train customers so they get value from day one. This is a hands-on, customer-facing technical role for engineers who love seeing things work.

Job Responsibilities

  • Execute end-to-end platform deployments across Google SecOps and/or Microsoft Sentinel for new customers

  • Onboard log sources, configure data connectors, and validate ingestion pipelines

  • Load and deploy existing TENEX content into customer environments — including parsers, dashboards, detections, and playbooks developed by the Security Solution Engineers — SIEM/SOAR

  • Work from standardized playbooks to deliver MDR coverage within target SLOs

  • Troubleshoot connectivity, ingestion, and configuration issues during deployment

  • Enable customers through hands-on training — teaching them to navigate, understand, and get value from their deployed platform

  • Document deployment configurations and handoff notes for the ongoing support team

  • Manage multiple concurrent customer deployments depending on complexity and platform

  • Escalate technical blockers to Senior Engineers or Manager when appropriate

Required Skills & Qualifications

Technical & Industry Expertise

  • 2+ years in cybersecurity, IT operations, cloud engineering, or a related technical field

  • Hands-on experience with SIEM platforms, particularly Google SecOps and/or Microsoft Sentinel

  • Experience with log source onboarding, data connectors, and ingestion pipeline configuration

  • Familiarity with data pipeline technologies such as Bindplane, OpenTelemetry, Cribl, or similar

  • Scripting experience in Python, Bash, or similar languages

  • Understanding of networking fundamentals and security operations workflows

  • Experience with cloud platforms (GCP, Azure, and/or AWS)

Soft Skills

  • Strong problem-solving and troubleshooting skills with a bias toward action

  • Excellent customer-facing communication and collaboration abilities

  • Ability to thrive in a fast-paced, high-performance startup environment

  • Passion for cybersecurity, automation, and continuous improvement

Education & Certifications

  • Bachelor's degree in Computer Science, Cybersecurity, Engineering, or a related field (or equivalent practical experience)

  • Relevant certifications such as CISSP, CISM, GIAC certifications, Google Cloud Professional, Microsoft SC-200/AZ-500, or AWS Certified Solutions Architect are a plus

Why Join Us?

  • Opportunity to work with cutting-edge AI-driven cybersecurity technologies and next-generation security platforms

  • Collaborate with a talented and innovative team focused on continuously improving security operations

  • Competitive salary and benefits package

  • A culture of growth and development, with opportunities to expand your expertise in AI, cybersecurity, and engineering

  • Be part of building something new — TENEX's Forward Deployed Engineering organization is a greenfield opportunity to define how enterprise security is delivered at scale

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