Senior Cloud Engineer

IMR Soft, LLC

Plano, TX, United States

3 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

6 years minimum

Working hours

Regular working hours

Job source

disabledperson.com

Tech stack

Artificial Intelligence Application Performance Management Automation of Tests Microsoft Azure Cloud Computing Cloud Engineering Continuous Integration DevOps Github Monitoring of Systems Infrastructure as a Service (IaaS) Network Security

+22 more

Log Analysis Platform as a Service (PAAS) Azure Active Directory Azure Machine Learning Systems Integration Azure Service Bus IMR (Goal Tracking System) Load Balancing Cloud Monitoring Delivery Pipeline Kubernetes Helm Charts Firewalls (Computer Science) Infrastructure as Code (IaC) Containerization Kubernetes Azure AKS Machine Learning Operations Terraform Api Management Docker Vulnerability Analysis Microservices

Job description

We are seeking a Senior DevOps Engineer to lead the technical implementation of our Azure Enterprise Landing Zones and AI-ready infrastructure. You will bridge the gap between core cloud architecture and MLOps, ensuring that our AI/ML workloads-from Azure OpenAI to custom models-are deployed onto a secure, high-performance, and fully automated foundation.

Azure Architecture & Landing Zones

Landing Zone Implementation: Deploy and manage scalable Azure Landing Zones, ensuring enterprise-grade governance, subscription organization, and resource hierarchy.

Networking & Security: Architect secure Azure Networking (VNet, Peerings, Private Links, Hub-and-Spoke) and implement robust security guardrails via Azure Policy and Azure Active Directory (Entra ID).

Containerization & Orchestration

AKS & Kubernetes: Act as the subject matter expert for Azure Kubernetes Service (AKS), managing cluster lifecycles, namespaces, and pod security policies.

Docker Expert: Build, optimize, and secure Docker images for microservices and AI model serving.

Helm Mastery: Utilize Helm Charts for consistent, version-controlled application deployments.

Infrastructure as Code (IaC) & Automation

Terraform Mastery: Develop and maintain modular, enterprise-scale Terraform code to ensure & quot;Everything as Code” for both IaaS (VMs, Network) and PaaS (APIM, Event Hubs).

CI/CD Governance: Build and optimize sophisticated pipelines using Azure DevOps and GitHub Actions, integrating security scanning and automated testing.

AI & MLOps Integration

AI Workloads: Provision and scale infrastructure for Azure Machine Learning and OpenAI services, specifically managing GPU node pools and model monitoring.

MLOps Pipelines: Implement deployment workflows for AI models, focusing on model performance tracking and automated drift detection.

Observability & Operations

Monitoring: Lead environmental instrumentation using Azure Monitor, Log Analytics, and Application Insights.

FinOps: Monitor and optimize cloud spend with custom cost-tracking and alerting for high-compute AI resources.

Requirements

6+ Years in DevOps/Cloud: Deep experience with Azure IaaS and PaaS.
IaC Specialist: Advanced proficiency in Terraform for multi-region deployments.
K8s Expert: Hands-on experience with Docker, Kubernetes (AKS), and ingress controllers.
Automation Lead: Expert in Azure DevOps and/or GitHub Actions for CI/CD.
Networking Guru: Strong understanding of Azure VNet, Firewall, and Load Balancing.
AI Aware: Exposure to deploying and managing AI/ML workloads on Azure.