Azure DevOps Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Florida; Presencial; USD 120.000 - 160.000; Jornada completa

Descripción de la vacante

Machine Learning Technologies LLC in Bonita Springs, FL seeks an Azure DevOps Engineer to design and implement scalable CI/CD pipelines across Azure DevOps, GitHub Actions, and YAML-based workflows. The role emphasizes secure IaC, container orchestration, and ML integration.

The ideal candidate has 5+ years in DevOps/SRE with hands-on Azure experience, including AKS, ACR, Terraform or Bicep, and experience deploying Azure ML components within ML workflows.

Formación

• 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; manage AKS and container registries.
• Proficiency with PowerShell and/or Python for automation; Docker and Helm.
• Experience operating Azure Machine Learning (workspaces, endpoints, registries) and integrating ML workflows in CI/CD.
• Solid cloud security, networking, and cost management knowledge.

Conocimientos

Azure DevOps

GitHub Actions

CI/CD Pipelines

Terraform

Bicep/ARM

AKS

Docker

Helm

PowerShell

Python

Azure ML

RBAC & Key Vault

Herramientas

Terraform

Bicep/ARM

AKS

ACR

Docker

Helm

GitHub Actions

YAML

Descripción del empleo

Job Overview

Job ID: J53292

Job Title: Azure DevOps Engineer

Location: Bonita Springs, FL

Duration: 18 Months + Extension

Domain Exposure: Pharmaceuticals

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

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.

Equal Opportunity Employer

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.