This role pays more than
62%
of similar roles. Most pay
$174,600–$232,850
— the shaded band above.
At the midpoint, this role pays about
$209k
versus about
$204k
for comparable roles.
Based on 240 similar postings.
Employer
About Microsoft
Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing
Microsoft currently has
597 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 570 roles with salary data.
As a Principal Software Engineer - Azure Storage, you will join the Geo Replication team to define and drive the long-term technical strategy, architecture, and roadmap for data replication, failover orchestration, business continuity, and recovery capabilities. You will be responsible for building next-generation geo-resiliency and data protection features while championing operational excellence through telemetry, automation, observability, and resiliency testing. The role involves solving complex distributed systems problems to ensure durability and availability for exabytes of customer data across regions. Candidates should possess experience in distributed storage systems, geo-distributed architectures, and resilience engineering. Required technical skills include proficiency in coding languages such as C, C++, C#, Java, JavaScript, or Python. Additionally, the role involves leveraging AI-assisted engineering and machine learning techniques to improve service health, anomaly detection, and intelligent automation within the cloud infrastructure.
What does a Software Engineer earn in Remote?
Median $206300 from 379 postings across 58 companies.
Define and drive the long-term technical strategy, architecture, and roadmap for Azure Storage Geo Replication.
Drive architectural decisions regarding data replication, failover orchestration, and business continuity capabilities.
Champion operational excellence through telemetry, automation, observability, and resiliency testing.
Lead the adoption of AI-assisted engineering and intelligent operations to improve service health.
Represent the team in executive reviews, customer engagements, and cross-organizational architecture discussions.
Deliver strategic investments and customer value by partnering with engineering, product, and platform teams.
What we're looking for
Bachelor's Degree in Computer Science or related technical field and 6+ years of experience coding in languages like C, C++, C#, Java, JavaScript, or Python.
Ability to pass Microsoft Cloud Background Check and other required security screenings.
Master's Degree in Computer Science and 8+ years of engineering experience (preferred).
Bachelor's Degree in Computer Science and 12+ years of engineering experience (preferred).
Experience building distributed storage systems, databases, or infrastructure services at scale (preferred).
Expertise in geo-distributed architectures, data replication, failover technologies, and resilience engineering (preferred).
Experience applying machine learning or AI techniques to service operations, anomaly detection, and intelligent automation (preferred).
Understanding of durability guarantees, consistency models, disaster recovery, business continuity, and regional failover solutions (preferred).
Azure
C#
C++
Python
Java
Distributed Systems
Kusto
Power BI
Azure Monitor
Firmware
Windows Kernel Debugging
Storport
Miniport Drivers
Performance Engineering
Telemetry
Infrastructure Validation
Automation
Azure
Python
C#
Java
C++
Distributed Systems
Microservices
REST APIs
CI/CD
Kusto
Cosmos DB
Performance Engineering
Telemetry
Automation
Source Control
Agile
Storage Systems
Firmware
Networking
Operating Systems
Azure
Distributed Systems
C
C++
C#
Java
Python
Cloud Computing
Data Structures
Algorithms
Telemetry Analysis
GitHub Copilot
Microsoft Copilot
Disaster Recovery
Scalability
Performance Optimization