Postúlate en Kit Empleo: kitempleo.com.ar/empleo/pxb0c

Remote position within Argentina & Uruguay

RYZ Labs is seeking a highly skilled and experienced Azure Monitoring & Observability Engineer to join our client’s team, focused on building and implementing enterprise-grade monitoring solutions across Azure environments.

The idóneo candidate will work on a build-focused engagement, responsible for installing, configuring, and documenting Azure monitoring and observability solutions based on client-defined standards.

This role requires strong hands‑on experience with Azure services, a deep understanding of monitoring frameworks, and the ability to deliver high-quality, production‑ready configurations and documentation.

This is a great opportunity for someone who thrives in structured, delivery-focused environments and enjoys working on complex Azure architectures, including cross-subscription monitoring, incident tooling, and AI-driven observability solutions.

The engagement is project-based (8–12 weeks), with a strong emphasis on execution, documentation, and knowledge transfer.

Basic Qualifications

- 5+ years of hands‑on experience working with Azure, with a strong focus on monitoring and observability
- Proven experience installing and configuring Azure Monitor, Log Analytics Workspaces, and Application Insights
- Strong proficiency in KQL (Kusto Query Language) for building queries, workbooks, and alert rules
- Experience configuring Azure Lighthouse across multi-subscription and cross-tenant environments
- Hands‑on experience with Azure Managed Grafana and dashboard creation
- Experience deploying infrastructure using ARM templates, Bicep, Terraform, or Azure Policy
- Proficiency in scripting using PowerShell, Azure CLI, or Python for automation tasks




- Experience working with incident management and RCA tooling within defined processes
- Strong documentation skills, with the ability to deliver clear runbooks and handoff materials
- Ability to work within defined requirements, without ownership of ongoing operations or support

Preferred Qualifications

- Microsoft Azure certifications (AZ-104, AZ-305, AZ-900, AI-102)
- Experience working on fixed-scope or SOW-based engagements
- Familiarity with ITSM integrations such as ServiceNow or PagerDuty
- Experience with Azure Arc for hybrid or multi-cloud monitoring
- Exposure to FinOps tools and Azure Cost Management
- Experience configuring AI-driven monitoring solutions (e.g., anomaly detection, Azure AI services)

Key Responsibilities

- Install and configure Azure Monitor, Log Analytics Workspaces, and Application Insights across multiple Azure resource types
- Configure diagnostic settings and data collection rules (DCRs) to ensure proper ingestion of logs and metrics
- Build KQL queries, Azure Monitor Workbooks, and dashboards aligned with client requirements
- Configure alerts, action groups, and intelligent alerting pipelines based on approved thresholds
- Implement Azure Lighthouse configurations for cross-subscription and cross-tenant observability
- Set up incident management tooling, alert pipelines, escalation flows, and RCA frameworks as defined by the client
- Build automated remediation workflows using Azure Automation and Logic Apps
- Configure AI-driven monitoring solutions, including anomaly detection and dynamic metrics dashboards
- Develop and deliver comprehensive documentation, including configuration guides and runbooks
- Conduct knowledge transfer sessions to enable the client team to operate all deployed solutions

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Required Skill Profession

Other General

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/pxb0c

📌 Full Stack AI Engineer (Azure) (Buenos Aires)
🏢 Ryz Labs
📍 Buenos Aires