Senior SOC Engineer AI And Automation

Overview

As a Senior SOC Engineer specializing in AI/ML, Backend development, and Distributed systems, you will drive innovation to strengthen our Security Operations Center capabilities. This role involves designing, deploying, and managing AI-powered automation workflows, product ionizing ML/GenAI solutions, and building scalable backend services to optimize incident response and operational efficiency. You will leverage cloud-native technologies (Azure), Dev Ops practices, and MLOps tools to implement secure, compliant deployments, including vector search and RAG pipelines.

Collaboration with cross-functional teams and mentoring junior engineers are integral to this position.

• Automation and AI technologies Management:
  Develop, implement, and maintain AI-driven full-stack solutions that enhance user experiences and optimize internal workflows.
• Backend Services & API Development:
  Develop and operate scalable backend services and APIs for AI/ML workloads using languages such as Python, Typescript, Node.js etc.
• AI/ML Platform Evolution:
  Build and enhance platform components such as feature and embeddings stores, vector search/semantic search infrastructure, evaluation dashboards, prompt/version management, and feedback loops.
• Security & Responsible AI:
  Implement security, data protection, and responsible AI guardrails, ensuring safe and compliant use of models and data.
• Cloud-Native & Dev Ops Practices:
  Apply best practices using Azure and on-prem containerization, CI/CD pipelines (Azure Devops / Gitlab). Infrastructure-as-Code for scalable deployments.
• Cross-Functional Collaboration:
  
  Work closely with Product, Data Science, Data Engineering, Design, and Dev Ops/SRE teams to translate business problems into robust technical solutions.
• Integration and Orchestration:
  Integrate Automation and AI technologies with existing SOC tools and technologies, orchestrating workflows across disparate security systems for seamless response coordination.
• Performance Monitoring and Optimization:
  Monitor the performance of the Automation and AI technologies, identifying and addressing any issues or bottlenecks to ensure optimal functionality and reliability.
• Documentation and Training:
  Maintain comprehensive documentation of AI workflows, configurations, and procedures. Provide training and guidance to internal users and engineers.

Experience with MLOps, including CI/CD for ML workflows, model deployment, and monitoring performance and data drift.

• Proven hands‑on experience deploying AI/ML and Generative AI solutions in production environments, including fine‑tuning, and integrating transformer‑based models, as well as designing and implementing RAG pipelines and advanced semantic search systems.
• Proficiency in programming experience in Python, Typescript, and scripting for automation.
• Experience with MLOps, including CI/CD for ML workflows, model deployment, and monitoring performance and data drift.
• Expertise in one or more AI/ML frameworks and tools such as Hugging Face Transformers, Agno AI, Lang Chain, MLflow, vLLM, Ollama, or equivalent platforms for model deployment and orchestration.
• Experience building and managing distributed, scalable services with robust observability (metrics, logs, traces, dashboards, alerts).

• Any certification in AI and ML technologies.
• Any certification in platform and automation is a plus.

• Bachelor’s or master’s degree in computer science, Information Technology, Cybersecurity, or related field.
• A minimum of 7 years of experience in software engineer with strong exposure in machine learning, backend development and distributed systems.
• Prior experience in a technical role within a cybersecurity domain is preferred.

Job Details

Role Level: Mid-Level

Work Type:
Full-Time

Country:
United Arab Emirates

City:
Abu Dhabi

Company Website:

Job Function:
Information Technology (IT)

Sector:
Computer and Network Security