Azure Platform Support Engineer

Acclime; Metro Manila; On-site; PHP 892,800 - 1,339,200; Full time

Job summary

Acclime is seeking an Azure Platform Support Engineer to join our cloud engineering and support team in Metro Manila. You will ensure the health, stability, and performance of Azure-based data and analytics platforms, monitor systems, and respond to incidents.

You will collaborate with Data Engineers, Cloud Architects, and DevOps to improve reliability, automate tasks, and maintain runbooks and dashboards. Strong English and scripting skills are essential.

Qualifications

• Excellent command of English.
• Strong analytical and problem-solving skills.
• Hands-on experience with Microsoft Azure (monitoring, operations, and troubleshooting).
• Operational understanding and hands-on experience with: Azure Databricks (clusters, jobs, layers, notebooks, and workspace operations).
• Azure Data Factory Pipelines (monitoring, debugging, triggers, and integration runtimes).
• Azure DevOps (ADO) (repositories, pipelines, and boards).
• Experience with automation and scripting (PowerShell, Python, or Bash).
• Familiarity with Azure Monitor, Log Analytics, and alerting.
• Ownership mindset and a proactive approach to improving platform reliability.
• Service-oriented attitude, patience, thoroughness, and strong attention to detail.
• Availability and readiness to work night shifts (10:00 PM–6:00 AM PST).

Responsibilities

• Monitor the health, performance, and capacity of Azure platform components.
• Troubleshoot issues across the Azure ecosystem, ensuring quick resolution and minimal disruption.
• Provide operational support for data pipelines, notebooks, ETL/ELT workflows, and CI/CD processes.
• Collaborate with Data Engineers, Cloud Architects, and DevOps teams to resolve platform incidents.
• Maintain observability using Azure Monitor, Log Analytics, Application Insights, and dashboards.
• Work with Azure DevOps for CI/CD, source control, release management, and deployment workflows.
• Maintain documentation, runbooks, and operational procedures.
• Run and document Root Cause Analyses (RCAs).
• Ensure all internal and external customer interactions are handled professionally.

Skills

Microsoft Azure

Azure Databricks

Azure Data Factory

Azure DevOps

PowerShell

Python

Bash

Monitoring & Troubleshooting

English communication

Root Cause Analysis

Tools

Azure Monitor

Log Analytics

Application Insights

CI/CD Pipelines

Job description

We are looking for an Azure Platform Support Engineer to join our cloud engineering and support team. In this role, you will be responsible for ensuring the health, stability, and performance of Azure-based data and analytics platforms. You will focus on monitoring, troubleshooting, incident resolution, platform automation, and continuous improvement.

Duties

• Monitor the health, performance, and capacity of Azure platform components, including Azure Databricks and Azure Data Factory (Pipelines).
• Troubleshoot issues across the Azure ecosystem, ensuring quick resolution and minimal disruption.
• Provide operational support for data pipelines, notebooks, ETL/ELT workflows, and CI/CD processes.
• Collaborate with Data Engineers, Cloud Architects, and DevOps teams to resolve platform incidents.
• Maintain and improve observability using Azure Monitor, Log Analytics, Application Insights, and custom dashboards.
• Work with Azure DevOps (ADO) for CI/CD, source control, release management, and deployment workflows.
• Maintain documentation, knowledge base entries, runbooks, and operational procedures.
• Run and document Root Cause Analyses (RCAs).
• Ensure all internal and external customer interactions are handled professionally and with the highest level of service.

Required Skills

• Excellent command of English.
• Strong analytical and problem-solving skills.
• Hands‑on experience with Microsoft Azure (monitoring, operations, and troubleshooting).
• Operational understanding and hands‑on experience with:
• Azure Databricks (clusters, jobs, layers, notebooks, and workspace operations).
• Azure Data Factory Pipelines (monitoring, debugging, triggers, and integration runtimes).
• Azure DevOps (ADO) (repositories, pipelines, and boards).
• Experience with automation and scripting (preferably PowerShell, Python, or Bash).
• Familiarity with Azure Monitor, Log Analytics, and alerting.
• Ownership mindset and a proactive approach to improving platform reliability.
• Service‑oriented attitude, patience, thoroughness, and strong attention to detail.
• Availability and readiness to work night shifts (10:00 PM–6:00 AM PST).