Senior Platform Engineer (Azure Focus)

Role overview

Platform and AI capabilities

• Architect and deploy modular, production-ready Azure AI platform capabilities; define boundaries, service contracts, tenancy, scaling, and secure integrations.
• Build shared AI platform products using Azure OpenAI, AI Search, Document Intelligence, and agent/tool orchestration patterns.
• Standardize application consumption through APIs, SDKs, templates, and reference implementations.
• Operate AI orchestration with service contracts, reusable patterns, release management, documentation, onboarding, and continuous improvement.

Infrastructure and runtime

• Create reusable Terraform modules and templates with standard network, identity, security, tagging, and observability settings.
• Automate policy and validation checks for naming, approved SKUs, network isolation, and compliance.
• Enable self-service provisioning through GitHub Actions or platform APIs.
• Build production runtimes on AKS and Azure Container Apps for APIs, agents, MCP servers, and asynchronous workloads.
• Manage secure, performant API lifecycles using Azure APIM and Kong.

Technical requirements

• At least 8 years of Azure Cloud Platform experience.
• Expertise in Terraform and GitHub Actions, including modular design, testing, and controlled promotion.
• Familiarity with Azure AI Foundry and OpenAI Service; deep hands-on expertise with Azure AI Foundry and Azure OpenAI is also specified.
• Expert knowledge of network architecture, including VNETs, peering, firewalls, and private links.
• Hands-on experience with Azure API Management or Kong; expertise with AKS, Azure Container Apps, identity, and private networking.
• Experience with Kubernetes, containers, platform APIs, SDK design, observability, and SRE practices.
• Ability to create cloud architectures, provide solutions architecture guidance, and automate security, risk, and compliance controls.