Azure DevOps Engineer Expert / Azure Solutions Architect

SoftPath Technologies LLC

Woburn, United States

8 days ago

Apply on www.dice.com

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Compensation

$95,680.0

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence Application Performance Management Microsoft Azure Bash Shell Business Software Cloud Computing Cloud Computing Security Continuous Integration DevOps Github Subnetting Python (Programming Language)

+23 more

Log Analysis Machine Learning Windows PowerShell Role-Based Access Control Prometheus Azure Machine Learning YAML Enterprise Software Applications Cloud Monitoring Delivery Pipeline Grafana Microsoft Fabric AI Platforms Kubernetes Bicep Data Management Machine Learning Operations Terraform Api Management Docker Key Vault Databricks Vulnerability Analysis

Job description

We are looking for an experienced Azure DevOps / SRE professional who can bridge IT infrastructure management and Azure DevOps engineering to support AI/ML workloads and enterprise IT services., * Design and maintain Azure DevOps YAML CI/CD pipelines for AI/ML model build, testing, security scanning, and releases

Implement Infrastructure as Code (IaC) using Terraform, Bicep, or ARM templates
Manage artifact repositories and container image signing
Administer Azure environments, including AKS clusters and GPU-enabled pools
Standardize environments for business applications and Azure Machine Learning workspaces
Implement cloud governance, security controls, and compliance guardrails
Partner with data science teams to deploy ML models efficiently
Support reliability, scalability, and performance of enterprise systems, ️ Azure: AKS, Functions, Storage, Key Vault, Monitor, Log Analytics, API Management, Event Hub, Service Bus ️ DevOps: Azure DevOps, GitHub, ACR, Helm, Docker, Terraform, Bicep/ARM Security: Azure Policy, RBAC, Managed Identity, Defender for Cloud Observability: Application Insights, Azure Monitor, Grafana, Prometheus Languages: YAML, PowerShell, Python, Bash

First 90-Day Deliverables

CI/CD templates for AI services IaC-based AKS/AML environments with security guardrails Unified observability dashboards, alerts & SLOs Incident response and change-management playbooks Automation opportunity backlog

Requirements

5+ years of DevOps/SRE experience 3+ years of hands-on Azure experience Azure DevOps - Repos, Pipelines & Artifacts GitHub Actions & YAML-based CI/CD Terraform or Bicep/ARM AKS & Azure Container Registry (ACR) PowerShell and/or Python Docker & Helm Azure Machine Learning - workspaces, endpoints, registries RBAC, Key Vault, Managed Identity & Azure Policy VNet, subnets, Private Link & cloud networking AI/ML deployment workflows and CI/CD integration, * GPU workloads on AKS or Azure ML

Model serving with Azure ML Managed Online Endpoints or Kubernetes Inference
Databricks, Microsoft Fabric, or related data platforms
Azure DevOps Engineer Expert / Azure Solutions Architect certification, Ideal Candidate: A strong communicator who thrives on automation, reliability, documentation, cloud security, and working in regulated environments.