This role pays more than
52%
of similar roles. Most pay
$136,350–$177,250
— the shaded band above.
At the midpoint, this role pays about
$152k
versus about
$157k
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.
Software Engineer II joins the Commercial Sales Experiences Engineering team to develop scalable enterprise solutions and AI-infused applications. This role involves the full software development lifecycle, including requirements gathering, database design, testing, deployment, and ongoing support for products on the Commercial Sales Experiences platform. The engineer will build agentic solutions and Copilot-powered features to enhance user productivity while ensuring high-quality code through engineering best practices. Key technologies include C#, .NET, React, JavaScript, TypeScript, and Python, alongside Azure services like Function Apps, Cosmos DB, and Synapse. The work focuses on the technical challenge of building programmatic tools for seller roles within the Commercial Business sector. Candidates will utilize microservices architecture, REST APIs, and Power Platform to solve complex business problems while participating in agile sprints and cross-functional collaboration to deliver state-of-the-art experiences.
What does a Software Engineer earn?
Median $196000 from 2121 postings across 148 companies.
Execute the full software development lifecycle including requirements gathering, design, development, testing, and deployment.
Build AI-infused applications and Agentic solutions to enhance user experience and productivity.
Design and implement scalable application components using microservices, REST APIs, and modern frameworks.
Enforce engineering best practices to ensure high-quality, secure, and maintainable code.
Implement automated testing, monitoring, and alerting to ensure production reliability and performance.
Identify and implement opportunities for automation and process optimization across the platform.
Provide accurate cost and effort estimates during sprint and quarterly planning cycles.
Partner with cross-functional teams to deliver state-of-the-art solutions on the Commercial Sales Experiences platform.
What we're looking for
Bachelor’s degree in computer science or related technical field and 2+ years of engineering experience coding in languages like C, C++, C#, Java, JavaScript, or Python.
3+ years of experience as a software engineer building commercial software with a proven track record of shipping products (preferred).
3+ years of experience applying cloud development principles, microservices, and DevOps practices (preferred).
Technical experience in C#, .NET, Microservices Architecture, REST APIs, React, JavaScript/TypeScript, or automated testing frameworks (preferred).
Experience harnessing AI development tools like GitHub Copilot to transform the SDLC through agents and automation (preferred).
Experience building applications and intelligent agents using ASP.NET, Azure AI services, or Azure AI Foundry (preferred).
Technical experience with enterprise-scale cloud infrastructure, including Azure PaaS services, API Management, and various database systems (preferred).
Experience with DevOps practices, CI/CD pipelines, Power Platform, Dynamics 365, or working in global agile teams (preferred).
Azure
AI
Microservices
React
Power Platform
D365
C#
.NET
Python
JavaScript
TypeScript
ASP.NET
REST API
SQL
Cosmos DB
NoSQL
CI/CD
Git
GitHub Copilot
Azure AI Foundry
Agile
Azure
AI
Microsoft Dynamics 365
Power Platform
C#
.NET
React
Microservices
SQL
NoSQL
Cosmos DB
ASP.NET
Python
JavaScript
TypeScript
REST API
Service Bus
Event Hub
Azure Synapse
Agile
LabVIEW
C++
Python
National Instruments
cDAQ
cRIO
PXI
Data Acquisition
Distributed Systems
Network Communication
Unit Testing
Performance Optimization
Debugging