This role pays less than
82%
of similar roles. Most pay
$137,500–$187,988
— the shaded band above.
At the midpoint, this role pays about
$127k
versus about
$163k
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
605 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 596 roles with salary data.
As a Software Engineering IC2 within the Customer Success Engineering team, you will develop the next generation of AI-powered and Agentic applications on Microsoft Cloud. You will design, build, and operate scalable cloud-native services and user experiences that facilitate business transformation through automation and conversational interfaces. Your daily work involves building intelligent business applications using Azure AI Foundry, Azure OpenAI, and agentic frameworks while integrating features into enterprise systems. You will develop full-stack solutions utilizing C#, .NET, React, REST APIs, Azure SQL, and Cosmos DB. The role requires proficiency in languages such as C, C++, C#, Java, JavaScript, or Python. You will also apply Responsible AI principles and utilize AI-assisted engineering tools like GitHub Copilot to solve complex problems involving intelligent systems and cloud-native architecture within the commercial business domain.
What does a Software Engineering earn?
Median $177250 from 33 postings across 7 companies.
Design, develop, test, and deploy cloud-native applications using modern software engineering practices.
Build and enhance intelligent business applications using Azure AI Foundry, Azure OpenAI, and agentic frameworks.
Develop full-stack solutions utilizing C#, .NET, React, REST APIs, and various cloud services.
Integrate AI agents, workflow automation, and conversational experiences into enterprise applications.
Build and maintain APIs, data models, and integrations using Azure SQL and Cosmos DB.
Utilize AI-assisted engineering tools like GitHub Copilot to improve software quality and productivity.
Apply Responsible AI principles and security requirements throughout all stages of the development lifecycle.
What we're looking for
Bachelor's Degree in Computer Science or related technical discipline with experience coding in languages such as C, C++, C#, Java, JavaScript, or Python.
Equivalent experience to a Bachelor's degree in a technical field is accepted.
Master's Degree in Computer Science or related technical field (preferred).
Bachelor's Degree in Computer Science and 2+ years of technical engineering experience with coding in languages such as C, C++, C#, Java, JavaScript, or Python (preferred).
Ability to pass the Microsoft Cloud background check.
Python
C#
Java
Go
JavaScript
C++
C
Kubernetes
Azure
Generative AI
Agentic Systems
Observability
Prompts
Container Orchestration
Cloud-native Infrastructure
Azure
AI
Microservices
React
Power Platform
C#
Python
JavaScript
C++
SQL
Cosmos DB
Azure Synapse
NoSQL
GitHub Copilot
Copilot Studio
Azure AI Foundry
AKS
DevOps
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