DevOps Engineer
Job in
Quincy, Norfolk County, Massachusetts, 02171, USA
Listed on 2026-09-09
Listing for:
Perfict
Full Time
position Listed on 2026-09-09
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations, Azure, SRE/Site Reliability
Job Description & How to Apply Below
- Partner with data science, engineering, security, and IT teams to accelerate AI adoption while maintaining platform stability and scalability.
- Implement monitoring, alerting, and observability solutions using Azure Monitor, Application Insights, Grafana, and Prometheus.
- Required Qualifications
5+ years of Dev Ops, Site Reliability Engineering (SRE), or Cloud Engineering experience, including 3+ years within Azure environments. - Hands-on experience with Azure Dev Ops, Git Hub Actions, YAML-based CI/CD pipelines, and source control best practices.
- Strong expertise with Terraform, Bicep, or ARM templates for infrastructure automation.
- Experience managing AKS, container registries, Docker, Helm, and containerized application deployments.
- Knowledge of Azure Machine Learning, model deployment workflows, and MLOps best practices.
- Proficiency in Power Shell and/or Python automation.
- Strong understanding of Azure security, networking, governance, compliance, and cost management practices.
- Design, build, and maintain Azure Dev Ops and Git Hub Actions CI/CD pipelines for application and AI/ML model deployment.
- Implement Infrastructure as Code (IaC) using Terraform, Bicep, or ARM templates to provision and manage Azure environments.
- Administer Azure services, including AKS, Azure Machine Learning, Azure Container Registry (ACR), and supporting cloud infrastructure.
- Support containerized workloads, GPU-enabled environments, and ML model deployment workflows.
- Establish and maintain cloud security, governance, and compliance controls, including RBAC, Azure Policy, Managed Identity, Key Vault, and networking standards.
- Develop automation solutions using Power Shell and Python to improve operational efficiency and platform reliability.
- Preferred Qualifications
- Experience supporting GPU-based ML workloads and model-serving platforms within AKS or Azure Machine Learning.
- Familiarity with Databricks, Microsoft Fabric, and modern data platforms supporting AI initiatives.
- Azure certifications such as Azure Dev Ops Engineer Expert, Azure Solutions Architect Expert, or related credentials.
- Security & Governance: Azure Policy, RBAC, Managed Identity, Defender for Cloud, Key Vault
- Languages: YAML, Power Shell, Python, Bash
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