Senior Azure DevSecOps Cloud Platform Engineer

Bridgetown Consulting Group

United States

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Compensation

$83,200.0

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Microsoft Azure Cloud Computing Security Continuous Integration Linux Github Identity and Access Management Network Security Role-Based Access Control Security Software Azure Service Bus

+12 more

Cloud Platform System Large Language Models Generative AI Event Driven Architecture Containerization AI Platforms Google Cloud Functions Bicep Terraform Devsecops Serverless Computing Microservices

Job description

Our client, a large Accounting & Technology firm, is urgently looking for a Senior Azure DevSecOps Cloud Platform Engineer to support and scale enterprise Azure infrastructure and AI platform services.

The ideal candidate should have strong hands-on experience with Azure Cloud, DevSecOps, Terraform, GitHub Actions, CI/CD, containerized applications, microservices, and AI/LLM infrastructure.

The candidate will be responsible for designing, provisioning, deploying, automating, and maintaining Azure infrastructure, including Azure Container Apps, Azure Container Registry, Azure Functions, event-driven services, secure networking, and AI/LLM endpoints., * Design and maintain modular Terraform/Bicep configurations

Automate Azure infrastructure provisioning and deployment
Build and maintain enterprise CI/CD pipelines
Develop GitHub Actions workflows for build, deployment, release, and validation
Support self-hosted Linux runners
Deploy and manage containerized applications and microservices
Work extensively with Azure Container Apps and Azure Container Registry
Configure Azure Event Grid, Service Bus, and Event Subscriptions
Implement Azure RBAC/IAM and managed identities
Configure secure secret management
Troubleshoot private endpoint routing and Azure networking
Support enterprise AI/LLM platform infrastructure
Implement production-grade DevSecOps, security, governance, and automation
Support highly available and scalable Azure cloud environments

Requirements

5+ years of hands-on experience with Microsoft Azure
Strong experience with Terraform
Experience with Bicep/ARM Templates
Strong hands-on experience with GitHub Actions
Experience with self-hosted Linux runners
Strong CI/CD and DevSecOps experience
Experience with Azure Container Apps (ACA)
Experience with Azure Container Registry (ACR)
Experience with Azure Function Apps
Experience with Azure App Service Plans
Strong knowledge of Azure-native services
Experience with Azure Event Grid
Experience with Azure Service Bus
Strong knowledge of Azure RBAC/IAM
Experience with User-Assigned Managed Identities
Experience with Private Endpoints and secure network routing
Experience with microservices and containerized APIs
Experience with reverse proxies and event-driven architectures

AI / GenAI Experience

Experience supporting AI/ML or Generative AI infrastructure
Experience with Azure OpenAI
Exposure to Gemini and Claude LLM endpoints
Experience with LLM endpoint deployment and management
Understanding of AI token consumption, metering, and related infrastructure
Experience supporting enterprise AI/LLM platforms is highly preferred, * Enterprise-scale Azure environment experience
Production-grade DevSecOps experience
AI/LLM platform engineering experience
Azure OpenAI integration experience
Experience with automated security and compliance controls
Strong understanding of cloud security and governance
AZ-400 certification preferred