Azure Platform Reliability Engineer - Night Shift

Acclime; Metro Manila; On-site; PHP 600,000 - 900,000; 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, focusing on monitoring, troubleshooting, incident resolution, platform automation, and continuous improvement.

Responsibilities include monitoring Azure Databricks and Data Factory, addressing incidents quickly, supporting data pipelines and CI/CD workflows, and maintaining

Qualifications

• Hands-on experience with Microsoft Azure in monitoring, operations and troubleshooting.
• Proficient in automation and scripting (PowerShell, Python, or Bash).
• Excellent English, written and spoken.
• Willingness to work night shifts 10:00 PM–6:00 AM PST.

Responsibilities

• Monitor health, performance, and capacity of Azure data/analytics platforms (Databricks, ADF).
• Troubleshoot issues across Azure ecosystem for quick resolutions.
• Provide operational support for data pipelines, notebooks, ETL/ELT and CI/CD.
• Collaborate with Data Engineers, Cloud Architects, and DevOps to resolve incidents.
• Maintain observability with Azure Monitor, Log Analytics, App Insights, and dashboards.
• Automate repetitive operational tasks.
• Work with Azure DevOps for CI/CD, source control, release management, deployments.
• Document runbooks, knowledge bases, and procedures.
• Run Root Cause Analyses (RCAs).
• Ensure professional interactions with customers.

Skills

Excellent English

Analytical thinking

Troubleshooting

Problem solving

Night shift readiness

Tools

Azure Databricks

Azure Data Factory

Azure DevOps

PowerShell

Python

Bash

Job description

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, focusing on monitoring, troubleshooting, incident resolution, platform automation, and continuous improvement.

Responsibilities include monitoring Azure Databricks and Data Factory, addressing incidents quickly, supporting data pipelines and CI/CD workflows, and maintaining