> Markdown version of [/jobs/ext/4483025-azure-devops-engineer](https://www.wearedevelopers.com/jobs/ext/4483025-azure-devops-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Azure DevOps Engineer

- **Company:** Robotics Technologies LLC
- **Location:** Bonita Springs, FL, United States
- **Experience:** Experienced
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Application Performance Management, Microsoft Azure, Bash Shell, Cloud Computing, Cloud Computing Security, Continuous Integration, DevOps, Github, Subnetting, Python (Programming Language), Log Analysis, Windows PowerShell, Role-Based Access Control, Prometheus, Azure Machine Learning, YAML, Cloud Monitoring, Delivery Pipeline, Grafana, AI Platforms, Kubernetes, Information Technology, Bicep, Azure AKS, Data Management, Machine Learning Operations, Terraform, Api Management, Docker, Key Vault, Databricks
- **Published:** October 31, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ca4707ab28f7fbd2

## About the Role

* 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, * 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., * 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.

## Description

* 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