Azure DevOps Engineer

Ethereum Technologies; Florida; On-site; USD 130,000 - 180,000; Full time

Job summary

Ethereum Technologies in Florida is seeking a senior DevOps/SRE professional to join our cloud infrastructure team. The role emphasizes hands-on work with Azure-based services, AKS, and ML deployment pipelines to support AI workloads at scale.

You will implement CI/CD workflows with YAML, manage IaC using Terraform or ARM/Bicep, and reinforce cloud security, networking, and cost governance across all environments.

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

Skills

Azure DevOps

AKS

Azure ML

CI/CD

IaC

Terraform

PowerShell

Python

Docker

Helm

GitHub Actions

Tools

Terraform

ARM/Bicep

AKS

Docker

Kubernetes

GitHub Actions

Helm

PowerShell

Python

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

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.