Senior Platform Engineer (Azure Focus)

Dicetek LLC; Abu Dhabi; On-site; AED 300,000 - 500,000; Full time

Job summary

Dicetek LLC in Abu Dhabi is seeking a Senior Platform Engineer to design, build, and scale a reusable Azure AI Platform as an enterprise product. You will create cloud-native platform capabilities and hybrid-cloud ecosystems, focusing on operationalizing AI services and maintaining strong security standards.

You will architect production-ready infrastructure, codify patterns with Terraform and GitHub Actions, manage AKS and Azure Container Apps, and govern APIs with APIM or Kong while aligning

Qualifications

• 8+ years of experience with Azure cloud platform.
• Strong IaC experience with Terraform and GitHub Actions.
• Hands-on with AKS, Azure Container Apps, and cloud security practices.
• Experience with API management (APIM) or Kong.

Responsibilities

• Architect and deploy production-ready modular Azure AI platform capabilities.
• Build shared AI service capabilities by standardizing access to Azure OpenAI, AI Search, and related tooling.
• Standardize application consumption through APIs, SDKs, templates, and reference implementations.
• Define reusable Terraform modules and templatized patterns for cloud resources and secure networking.
• Implement policy-as-code and automated validation for naming, SKUs, network isolation, and compliance.
• Provide self-service provisioning paths via GitHub Actions or platform APIs.
• Operate AI orchestration as an enterprise capability with clear service contracts and release management.
• Manage AI runtimes on AKS and Azure Container Apps for APIs and workloads.
• Manage API lifecycles using Azure APIM or Kong for secure, performant communications.

Skills

Azure Cloud

Terraform

GitHub Actions

AKS

Azure Container Apps

Azure API Management

Kong

OpenAI

Azure OpenAI

Security & IAM

Tools

Terraform Modules

GitHub Actions CI

APIM

Kubernetes

Azure OpenAI Service

Job description

Role Overview: We are looking for a Senior Platform Engineer to design, build, and scale and evolution of the Azure AI Platform as a reusable enterprise product. The role builds cloud-native platform capabilities and hybrid-cloud ecosystems from the ground up for a large Financial Enterprise. You will be responsible for creating a robust foundation for our application teams, with a specific focus on operationalizing AI services, maintaining rigorous security standards.

Key Responsibilities

• Infrastructure: Architect and deploy production-ready modular Azure AI platform capabilities. Define platform boundaries, service contracts, tenancy patterns, scaling models and secure integration standards.
• Shared AI Capabilities integration Build shared AI service capabilities as platform products by standardizing access to Azure OpenAI, AI Search, Document Intelligence, and other agent/tool orchestration pattern
• Standardize application consumption through APIs, SDKs, templates, and reference implementations
• Infrastructure as Code:
• Define reusable Terraform modules and templatized patterns that provision cloud resources with standard network, identity, security, tagging, observability, built in by default.
• Implement policy-as-code and automated validation to ensure every deployment passes checks for naming standards, approved SKUs, network isolation, compliance requirements
• Provide self-service provisioning paths through GitHub Actions or platform APIs so teams can request standardized infrastructure pattern
• Operate AI orchestration as an enterprise capability with clear service contracts, reusable patterns, release management, platform documentation, onboarding journeys, and continuous improvement based on application demand.
• AI Runtime: Engineer production runtimes on AKS and Azure Container Apps for APIs, agents, MCP servers and asynchronous workloads.
• API & Connectivity: Manage API lifecycles using Azure APIM and Kong, ensuring secure and performant communication between services.

Technical Requirements

• Cloud: 8+ years experience with Azure Cloud Platform.
• IaC: Expertise in Terraform and GitHub Actions, including modular design, automated testing and controlled promotion.
• AI Stack: Familiarity with Azure AI Foundry and OpenAI Service.
• Networking: Expert knowledge of Network Architecture (VNETs, Peering, Firewalls, Private Links).
• APIs: Hands-on experience with Azure API Management or Kong.
• Deployment Architecture: Proven ability to create professional Cloud Architectures and provide Solutions Architecture guidance.
• Deep hands-on expertise with AKS, Azure Container Apps, Azure AI Foundry, Azure OpenAI, APIM, identity and private networking.
• Experience with Kubernetes, containers, platform APIs, SDK design, observability and SRE practices.
• Ability to translate security, risk and compliance requirements into automated platform controls.