Live opening · Posted 11 days ago
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We are seeking an experienced Azure Platform Engineer to join our team in building and scaling the enterprise’s next-generation API and AI infrastructure. In this role, you will maintain our core Azure API Management (APIM) platform while driving the design of a central Enterprise Context Gateway to power our AI-native transition.
A key focus will be enabling Azure cloud integration with Generative AI and Agentic AI framework design, leveraging protocols like Model Context Protocol (MCP) to securely connect AI agents, tools, and enterprise data. Operating in an Azure DevOps ecosystem using Infrastructure as Code (ARM/Bicep), you will ensure platform resilience, security, and developer self-service for mission-critical services.
Key Responsibilities (With Explicit Agentic AI Focus)
Platform & AI Gateway Engineering: Build, maintain, and enhance the Azure API Management (APIM) platform and design the new Enterprise Context Gateway to enable secure, governed Agentic AI integration.
Generative & Agentic AI Orchestration: Expose Model Context Protocol (MCP) services across the enterprise to enable autonomous AI agents and Generative AI models to safely connect with internal data, tools, and APIs.
Automated Infrastructure & CI/CD: Develop and maintain Infrastructure as Code (ARM/Bicep) and CI/CD pipelines in Azure DevOps for secure, compliant deployments.
Platform Security & Reliability: Ensure high availability, security-by-design, performance optimization, and active participation in 24/7 standby rotations for mission-critical systems.
Cross-Functional Collaboration: Partner with architects, developers, and platform teams to build developer self-service tooling and elevate the enterprise integration ecosystem.
Required Qualifications:
Experience: 8–20 years of relevant experience in Azure platform engineering.
Core Technical Skills: Hands-on Azure infrastructure setup/optimization, IaC (ARM/Bicep), Azure DevOps CI/CD pipelines, RESTful API integration, and security-by-design principles.
Preferred Experience: Enabling and implementing Agentic AI solutions using Model Context Protocol (MCP).
Operational Requirements: Ability to participate in 24/7 standby/on-call rotation; fluent English communication skills.
Work arrangement
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