Sr Technology Engineer - DevOps Data Hadoop

Role Overview:

We are looking for Senior Platform Engineer to design, build, scale, and evolve the Azure AI Platform as a reusable enterprise product.

The role focuses on building cloud-native platform capabilities and hybrid-cloud ecosystems for a large financial enterprise, with particular emphasis on AI service operationalization, security, reusable platform products, and automated infrastructure controls.

Key Responsibilities: Azure AI Platform Engineering

• Architect and deploy production-ready modular Azure AI platform capabilities.
• Define platform boundaries, service contracts, tenancy patterns, scaling models, and secure integration standards.
• Build shared AI service capabilities by standardizing access to:
  • Azure OpenAI
  • Azure AI Search
  • Document Intelligence
  • Agent and tool orchestration patterns

Infrastructure as Code Automation

• Standardize application consumption through APIs, SDKs, templates, and reference implementations.
• Define reusable Terraform modules and templatized infrastructure patterns.
• Build standardized network, identity, security, tagging, and observability capabilities into infrastructure provisioning.
• Implement policy-as-code and automated validation for naming, approved SKUs, network isolation, and compliance.

Platform Operations

• Provide self-service provisioning through GitHub Actions or platform APIs.
• Establish reusable platform patterns, release management, documentation, and onboarding journeys.
• Engineer production runtimes on AKS and Azure Container Apps for APIs, agents, MCP servers, and asynchronous workloads.
• Manage API lifecycles using Azure API Management and Kong.

Required Skills Experience:

• 8+ years of experience with the Azure Cloud Platform.

• Strong expertise in Terraform and GitHub Actions, including modular design, automated testing, and controlled promotion.

• Familiarity with Azure AI Foundry and Azure OpenAI Service.

• Expert knowledge of network architecture including:

  • VNETs
  • Peering
  • Firewalls
  • Private Links

• Hands-on experience with Azure API Management or Kong.

• Strong Cloud Architecture and Solution Architecture capabilities.

• Deep hands-on expertise with:

  • AKS
  • Azure Container Apps
  • Azure AI Foundry
  • Azure OpenAI
  • APIM
  • Identity
  • 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.

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Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.