Agent Runtime Platform Engineer | IDC Technologies

IDC Technologies is seeking a seasoned and hands-on Agent Runtime Platform Engineer to join our technology team in Abu Dhabi. In this critical senior role, you will be responsible for designing, deploying, and scaling advanced cloud infrastructure and platform architectures tailored for artificial intelligence and autonomous AI agent workflows. You will lead container orchestration strategies, manage multi-cloud Kubernetes environments, and ensure high availability, robust security, and optimal performance for next-generation AI applications.

This opportunity requires an experienced platform or cloud engineer with 8+ years of professional expertise who can bridge traditional Dev Ops principles with cutting-edge AI agent runtime systems.

As the Agent Runtime Platform Engineer, you will take full ownership of building and maintaining the foundational infrastructure that powers enterprise AI agents and model control protocols (MCP). Your day-to-day responsibilities include provisioning and optimizing Azure Kubernetes Service (AKS) clusters, managing containerized workloads, automating infrastructure provisioning via Terraform, and enforcing rigorous security and networking guardrails. You will collaborate closely with AI research, data engineering, and software development teams to streamline CI/CD deployment pipelines, monitor run-time latency, and scale distributed AI agent architectures efficiently across enterprise environments.

Furthermore, you will establish operational best practices, troubleshoot complex cloud infrastructure bottlenecks, and ensure strict compliance with enterprise security standards.

• Design, deploy, and scale robust platform and cloud architectures supporting enterprise AI agents and generative AI workloads.
• Administer and optimize Azure cloud environments and Azure Kubernetes Service (AKS) container clusters.
• Implement and manage infrastructure-as-code automation frameworks using Terraform for rapid, repeatable deployments.
• Build, maintain, and secure automated CI/CD pipelines for continuous integration and seamless software delivery.
• Configure and troubleshoot complex cloud networking, microservices communication, and zero-trust security policies.
• Deploy and manage runtime environments for AI Agents and Model Control Protocols (MCP) in production settings.
• Collaborate with cross-functional data science and software engineering teams to optimize agent performance and resource allocation.
• Ensure high system availability, disaster recovery readiness, and rigorous adherence to enterprise security protocols.

• Minimum of 8 years of professional experience in cloud engineering, platform engineering, Dev Ops, or site reliability engineering.
• Extensive hands‑on experience working with Microsoft Azure, Azure Kubernetes Service (AKS), and containerization technologies (Docker, Kubernetes).
• Demonstrated expertise in infrastructure‑as‑code (IaC) toolsets, specifically Terraform.
• Strong proficiency in building automated CI/CD pipelines and managing software delivery life cycles.
• Solid understanding of cloud networking architectures, security hardening, and identity access management.
• Practical exposure to AI agents, LLM runtime environments, or Model Control Protocols (MCP).
• Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or a related technical discipline.
• Excellent analytical, problem-solving, and cross‑functional communication skills.

• Professional certifications such as Microsoft Certified:
  Azure Dev Ops Engineer Expert or Certified Kubernetes Administrator (CKA).
• Prior experience integrating vector databases, embedding pipelines, or LLM serving frameworks (e.g., vLLM, TGI).
• Advanced scripting skills in Python, Go, or Bash for platform automation and custom tool development.
• Previous experience operating within fast‑paced IT consultancy or global technology staffing environments in the GCC region.
• Strong familiarity with observability and monitoring platforms such as Prometheus, Grafana, and Datadog.

Salary/Rate:
Market Competitive / Industry Standard

Deadline:
Open until filled

Notice Period:
Immediate to 15 Days

Contract Duration:
Permanent / Full-Time