This role pays more than
72%
of similar roles. Most pay
$119,500–$161,100
— the shaded band above.
At the midpoint, this role pays about
$152k
versus about
$140k
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 Software Engineer II on the Agent 365 Foundation team, you will build the storage and resource-provider foundation for Agent 365 and the broader Agent Cloud. You will design, build, and operate storage services and resource-provider APIs using Azure Data Lake Storage and Cosmos DB to support agent configuration, telemetry, evaluation data, audit records, and customer content. Your daily work involves owning services end-to-end, including architecture, deployment, on-call rotations, and performance engineering like storage tiering and capacity planning. You will collaborate with partner teams across Dataverse and Dynamics 365 to onboard new scenarios while utilizing AI tooling and agentic development loops. The role requires proficiency in languages such as C, C++, C#, Java, JavaScript, or Python, alongside expertise in distributed systems, API design, and infrastructure for agentic AI workloads.
What does a Software Engineer earn?
Median $196000 from 2121 postings across 148 companies.
Design, build, and operate storage services and resource-provider APIs on ADLS and Cosmos DB.
Manage the full service lifecycle including architecture, coding, deployment, and on-call rotations.
Collaborate with partner engineering teams to onboard new scenarios onto the platform.
Execute cost and performance engineering through storage tiering and capacity planning.
Develop telemetry systems to monitor and analyze system costs and performance metrics.
Integrate AI tooling and agentic development loops into daily engineering workflows.
Build infrastructure specifically designed for agentic AI workloads and evaluation pipelines.
What we're looking for
Bachelor's Degree in Computer Science or related field and 2+ years of technical engineering experience in languages like C, C++, C#, Java, JavaScript, or Python.
Ability to pass a Microsoft Cloud background check.
Master's Degree in Computer Science and 3+ years of experience, or a Bachelor's Degree and 5+ years of experience (preferred).
2+ years building and operating distributed services or data platforms in production (preferred).
Deep expertise in data structures, concurrency, API design, and distributed systems (preferred).
Experience with cloud storage, NoSQL databases, Azure Data Lake Storage, Cosmos DB, or Azure Resource Manager (preferred).
Experience with observability, telemetry pipelines, large-scale analytics, or AI/agent workload infrastructure (preferred).
Proficiency in using AI-assisted development tools and agentic development loops (preferred).
Azure
AI
Microservices
React
Power Platform
Dynamics 365
C#
.NET
Python
JavaScript
TypeScript
ASP.NET
REST APIs
SQL
Cosmos DB
NoSQL
CI/CD
GitHub Copilot
Service Bus