Azure DevOps Engineer

Valiant Technologies LLC; Florida; On-site; USD 140,000 - 200,000; Full time

Job summary

Valiant Technologies LLC is seeking an experienced DevOps/SRE professional in Florida to lead Azure-based CI/CD and automation efforts. You will manage AKS clusters, container registries, and IaC configurations, while integrating Azure Machine Learning workflows into production pipelines.

Responsibilities include automating processes with PowerShell/Python, enforcing cloud security, and optimizing costs. Strong collaboration with teams is essential for success.

Qualifications

• 5+ years in DevOps/SRE with 3+ years on Azure.
• Hands-on with Azure DevOps (Repos, Pipelines, Artifacts), GitHub Actions, and YAML CI/CD.
• Strong IaC skills (Terraform or Bicep/ARM) and AKS management.
• PowerShell and/or Python for automation; familiarity with Docker and Helm.
• Experience operating Azure ML and integrating ML workflows in CI/CD.
• Solid cloud security concepts (RBAC, Key Vault) and cost management

Responsibilities

• Design and implement CI/CD pipelines for AI/ML workloads on Azure.
• Manage AKS clusters, container registries, and IaC configurations.
• Implement cloud security best practices and cost controls.
• Automate workflows using PowerShell or Python and YAML-based tooling.
• Collaborate on integrating Azure Machine Learning into production pipelines.

Skills

DevOps/SRE Experience

Azure Expertise

CI/CD proficiency

IaC

Container orchestration

Tools

Azure DevOps

AKS

ACR

Terraform

Bicep

ARM

PowerShell

Python

Docker

Helm

Azure Machine Learning

Key Vault

Job description

Required qualifications:

• 5+ years in DevOps/SRE, with 3+ years on Azure.
• Hands on with Azure DevOps (Repos, Pipelines, Artifacts), GitHub Actions, and YAML based CI/CD.
• Strong IaC skills (Terraform or Bicep/ARM); experience managing AKS and container registries (ACR).
• Proficiency with PowerShell and/or Python for automation; familiarity with Docker and Helm.
• Experience operating Azure Machine Learning (workspaces, endpoints, registries) and integrating ML workflows in CI/CD.
• Solid understanding of cloud security (RBAC, Key Vault, Managed Identity, policies), networking (VNet, subnets, Private Link), and cost management

Required Skills:

• Strong experience with Azure DevOps, AKS, and Azure Machine Learning.
• Proficiency in CI/CD, IaC, and container orchestration.
• Familiarity with cloud security best practices and compliance frameworks.
• Knowledge of AI/ML deployment workflows and traditional IT infrastructure.

Preferred Qualifications:

• Experience with GPU workloads on AKS or AML; model serving (Azure ML Managed Online Endpoints, Kubernetes Inference).
• Familiarity with Databricks, Fabric, or other data platforms that feed AI services.
• Certifications: Azure DevOps Engineer Expert, Azure Solutions Architect, or equivalent.

Core Tools & Technologies:

• Azure: AKS, Functions, Storage, Key Vault, Monitor/Log Analytics, API Management, Event Hub/Service Bus.
• DevOps: Azure DevOps, GitHub, ACR, Helm, Docker; Terraform or Bicep/ARM.
• Security/Governance: Azure Policy, RBAC, Managed Identity, Key Vault, Defender for Cloud.
• Observability: Application Insights, Azure Monitor, Grafana/Prometheus.
• Languages: YAML, PowerShell, Python; optional Bash.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.