Senior IT & Azure DevOps Engineer

Akaasa Technologies

Woburn, MA, United States

13 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Compensation

$119,830.0 - $175,440.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Artificial Intelligence Application Performance Management Microsoft Azure Bash Shell Business Software Cloud Computing Cloud Computing Security Continuous Integration DevOps Github Python (Programming Language) Log Analysis

+25 more

Machine Learning Windows PowerShell Role-Based Access Control Prometheus Azure DevOps Pipelines Azure Machine Learning YAML Enterprise Software Applications Cloud Monitoring Delivery Pipeline Grafana Infrastructure as Code (IaC) AI Platforms Kubernetes Information Technology Bicep Azure AKS Data Management Machine Learning Operations Terraform Api Management Docker Key Vault Databricks Vulnerability Analysis

Job description

Design and maintain Azure DevOps pipelines (YAML) for build, test, security scanning and release of AI/ML models.
Implement Infrastructure as Code (IaC) using ARM templates, Terraform, or Bicep.
Manage artifact repositories and container image signing for compliance.
Cloud & Platform Management
Administer Azure environments, including AKS clusters for containerized workloads and GPU-enabled pools for ML training.
Standardize environments for business applications and Azure Machine Learning workspaces.
Security & Compliance
Enforce governance guardrails for both IT and AI workloads.
Ensure adherence to regulatory and internal security standards.
Collaboration & Support
Partner with data science teams to enable rapid deployment of ML models.
Work with IT stakeholders to maintain reliability and scalability of enterprise systems., * 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., Job Summary (List Format): - DevOps & Automation: - Design, implement, and maintain Azure DevOps pipelines (YAML) for building, testing, security scanning, and releasing AI/ML m…
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Requirements

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.