Agent Runtime Platform Engineer

Tanqeeb; Abu Dhabi; On-site; AED 300,000 - 420,000; Full time

Job summary

Tanqeeb is looking for an Agent Runtime Platform Engineer to design and build the foundation for AI agent runtimes across AKS, Kubernetes, and cloud-native environments.

You will define reusable patterns, platform APIs, and secure integration methods while enabling self-service templates, SDKs, and documented onboarding for engineering teams. Focus is on scalable, observable, production-ready workloads.

Qualifications

• Hands-on experience with cloud-native runtimes for agents and microservices.
• Ability to standardize runtime patterns and platform APIs for scalable workloads.
• Strong knowledge of security, observability, and operational readiness for production workloads.

Responsibilities

• Design and engineer runtime patterns for agents, MCP servers, and APIs.
• Build reusable infrastructure patterns and platform modules for provisioning agent workloads.
• Define standards for manifests, runtime configuration, and tool definitions for scale.

Skills

AKS

Kubernetes

Cloud-native design

Secrets management

Networking

Tools

Terraform

GitHub Actions

Job description

Role Overview: We are seeking an Agent Runtime Platform Engineer to design and build the enterprise runtime foundation for AI agents and agentic applications. This role is focused on platform engineering first, with a strong understanding of agent engineering standards and deployment patterns. The engineer will create secure, reusable, and self-service runtime capabilities that enable teams to deploy agents consistently across cloud-native environments such as AKS, Azure Container Apps, Kubernetes, APIs, event-driven services, and container platforms.Key Responsibilities:· Agent Runtime Platform: Design and engineer runtime patterns for agents, MCP servers, APIs, containerized services using AKS, Azure Container Apps, Kubernetes, queues, events, and cloud-native infrastructure.· Platform Engineering Standards: Build reusable infrastructure patterns, and platform APIs that allow teams to provision and operate agent workloads consistently across environments.· Agent Engineering Standards: Define standards for agent manifests, runtime configuration, tool definitions, so agent workloads can be managed at scale.· Secure Integration Patterns: Standardize how agents connect to model, MCP servers and enterprise APIs using approved network, identity, and access-control patterns.· Developer Self-Service: Provide paved-road templates, SDKs, reference implementations, documentation, and onboarding journeys that help application teams build and deploy agents without recreating runtime or infrastructure decisions.· Operational Readiness: Ensure agent workloads are observable, scalable, and production-ready.

Key Responsibilities

• Agent Runtime Platform: Design and engineer runtime patterns for agents, MCP servers, APIs, containerized services using AKS, Azure Container Apps, Kubernetes, queues, events, and cloud-native infrastructure.
• Platform Engineering Standards: Build reusable infrastructure patterns, and platform APIs that allow teams to provision and operate agent workloads consistently across environments.
• Agent Engineering Standards: Define standards for agent manifests, runtime configuration, tool definitions, so agent workloads can be managed at scale.
• Secure Integration Patterns: Standardize how agents connect to model, MCP servers and enterprise APIs using approved network, identity, and access-control patterns.
• Developer Self-Service: Provide paved-road templates, SDKs, reference implementations, documentation, and onboarding journeys that help application teams build and deploy agents without recreating runtime or infrastructure decisions.
• Operational Readiness: Ensure agent workloads are observable, scalable, and production-ready.

Desired Candidate Profile

• Strong hands-on experience with AKS, Azure Container Apps, Kubernetes, containers, networking, workload identity, ingress, API gateways, private connectivity, secrets management, and cloud-native runtime design.
• Expertise in Terraform, GitHub Actions or equivalent automation, reusable platform modules, deployment templates, and environment-aware provisioning practices.
• Working knowledge of AI agent architectures and API/service contracts.
• Ability to convert complex runtime and integration patterns into simple, reusable platform products for engineering teams.
• Strong understanding of security, observability, scaling, resilience, cost control, release promotion, and operational readiness for production workloads.
• Ability to work closely with AI platform engineers, AI Ops, cybersecurity, architecture, and application teams.

SkillsAKSKubernetesTerraform