Site Reliability Engineer II

5 Months ago • 4-5 Years • $98,300 PA - $208,800 PA
Devops

Job Description

The Site Reliability Engineer II at Microsoft's Azure Data team ensures the reliability, scalability, and performance of Microsoft Fabric and other data services. Responsibilities include working with high-throughput, multi-tenant services; collaborating with internal and partner teams; participating in on-call rotations; designing, implementing, and refining solutions; championing operational excellence; documenting data engineering processes; and ensuring system reliability, uptime, and performance. This role requires strong scripting skills (PowerShell, Python), experience with automation, and a focus on incident management, performance monitoring, and continuous improvement.
Good To Have:
  • 5+ years experience
  • Experience with Azure services
Must Have:
  • 4+ years experience in relevant field
  • 2+ years scripting experience (PowerShell, Python)
  • Experience with automation
  • System reliability & uptime
  • Incident management
  • Collaboration skills

Add these skills to join the top 1% applicants for this job

azure
python
sql
powershell
power-bi
data-analytics
business-intelligence
postgresql
scalability
innovation

Overview

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.

 

Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.

 

Within Azure Data, the Microsoft Fabric platform team builds and maintains the operating system and provides customers a unified data stack to run an entire data estate. The platform provides a unified experience, unified governance, enables a unified business model and a unified architecture.

 

This team (SRE) ensures the reliability, scalability, and performance of systems and services. By integrating software engineering with IT operations, the team automates processes, manages incidents, and enhances system resilience. Acting as a bridge between development and operations, SREs help organizations maintain highly reliable and efficient systems while enabling fast and seamless software delivery.

 

We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.

Qualifications

Required/Minimum Qualifications
• 4+ years technical experience in software engineering, network engineering, or systems administration OR bachelor's degree in computer science, Information Technology, or related field AND 2+ year(s) technical experience in software engineering, network engineering, or systems administration OR Master's Degree in Computer Science, Information Technology, or related field.
• 2+ years’ experience with scripting languages such as PowerShell, Python etc.
• Experience writing code to automate day-to-day tasks.

 

Other Requirements
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:
• This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

 

Preferred/Additional Qualifications
• 5+ years technical experience in software engineering, network engineering, or systems administration OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 2+ years technical experience in software engineering, network engineering, or systems administration OR Master's Degree in Computer Science, Information Technology, or related field AND 1+ year(s) technical experience in software engineering, network engineering, or systems administration.

 

Site Reliability Engineering IC3 - The typical base pay range for this role across the U.S. is USD $98,300 - $193,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $127,200 - $208,800 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

 

Microsoft will accept applications and processes offers for these roles on an ongoing basis.

 

 

#azdat
#azuredata
#sre
#fabric
#powerbi

Responsibilities

• Work with all aspects of a high throughput and multi-tenant service
• Collaborate effectively within the team and with partner teams across Microsoft.
• Be part of the on-call rotation for maintaining service health.
• Design, implement, and refine chosen solutions in close partnership with Product Management and partner teams.
• Champion operational excellence via established metrics, process governance, and policy controls for regular assessment and improvement.
• Document and define existing data engineering processes, data and technology, while evaluating them for optimization.


Core responsibilities breakdown includes:
• System Reliability & Uptime – Ensuring high availability of services.
• Incident Management – Detecting, responding to, and mitigating system failures.
• Performance Monitoring – Tracking system health and resolving bottlenecks.
• Automation & Tooling – Reducing manual work through scripts and automation.
• Capacity Planning – Scaling infrastructure efficiently to handle demand.
• Postmortems & Continuous Improvement – Analyzing failures to prevent recurrence.
• Embody our and

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