Sr Technology Engineer - DevOps Data Hadoop

D4 Insight; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

D4 Insight in Bengaluru, India seeks a Senior Platform Engineer to design, build, and evolve the Azure AI Platform as a reusable enterprise product. You will focus on cloud-native platform capabilities, hybrid-cloud ecosystems, AI service operationalization, security, and automated infrastructure controls.

Responsibilities include architecting production-ready Azure AI platform components, implementing policy-as-code, and enabling self-service provisioning via GitHub Actions and platform APIs.

Qualifications

• 8+ years of experience with the Azure Cloud Platform.
• Strong expertise in Terraform and GitHub Actions.
• Familiarity with Azure AI Foundry and Azure OpenAI Service.
• Knowledge of network architecture: VNETs, Peering, Firewalls, Private Links.
• Hands-on with AKS, Azure Container Apps, Identity, Private Networking.

Responsibilities

• 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, and orchestration patterns.
• Standardize application consumption through APIs, SDKs, templates, and reference implementations.
• Define reusable Terraform modules and templatized infrastructure patterns.
• Implement policy-as-code and automated validation for naming, SKUs, network isolation, and compliance.
• Provide self-service provisioning through GitHub Actions or platform APIs.
• Engineer production runtimes on AKS and Azure Container Apps for APIs, agents, MC P servers, and async workloads.
• Manage API lifecycles using Azure API Management or Kong.

Skills

Azure

Terraform

GitHub Actions

AKS

Azure OpenAI

Azure AI Foundry

Kubernetes

APIM

Security & Compliance

Tools

Azure API Management

Kong

Job description

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.