Azure DevOps Engineer

Quantum Technologies. LLC; Florida; Vor Ort; USD 120.000 - 180.000; Vollzeit

Zusammenfassung

Quantum Technologies. LLC seeks an experienced DevOps/SRE engineer in Florida to design and implement scalable cloud pipelines on Azure. You will lead automation, IaC, and container orchestration to support ML workloads and production workloads.

You will work with Azure DevOps, GitHub Actions, AKS, ACR, Terraform/Bicep, and security best practices to deliver reliable, cost-aware solutions in a fast-paced environment.

Qualifikationen

• 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/ACR management.
• Proficiency with PowerShell and/or Python for automation; familiarity with Docker and Helm.
• Experience operating Azure Machine Learning and integrating ML workflows in CI/CD.
• Cloud security and networking basics (RBAC, Key Vault, policies, VNet) and cost management.

Kenntnisse

DevOps/SRE experience

Cloud & Azure proficiency

Automation & scripting

Tools

Azure DevOps

GitHub Actions

Terraform

Bicep/ARM

AKS

ACR

PowerShell

Python

Docker

Helm

Azure Machine Learning

Jobbeschreibung

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.