This role pays more than
66%
of similar roles. Most pay
$129,562–$169,050
— the shaded band above.
At the midpoint, this role pays about
$152k
versus about
$149k
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
658 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 642 roles with salary data.
As a Software Engineer II within the Finance Data & Experiences organization, you will design, develop, and operate scalable cloud-based data, analytics, automation, and tooling solutions. You will manage the full software development lifecycle by integrating AI capabilities such as Azure OpenAI, Cognitive Services, and ML models to enhance system intelligence. Your daily work involves building robust monitoring, logging, and alerting systems while using AI tools to automate boilerplate code for data pipelines, SQL transformations, and Spark jobs. You will ensure high-quality delivery through rigorous testing strategies, security hardening, and the application of core programming principles like data structures and algorithms. The role focuses on solving complex problems in the domain of measuring, monitoring, and optimizing global business operations by leveraging modern data platforms, Cloud services, and Power Platform to deliver integrated, customer-focused experiences.
What does a Software Engineer earn?
Median $198163 from 2151 postings across 141 companies.
Integrate AI capabilities like Azure OpenAI and ML models to enhance system intelligence and user productivity.
Design, develop, and operate scalable cloud-based data, analytics, and automation solutions using modern platforms.
Use AI tools throughout the software development lifecycle to generate boilerplate code, documentation, and unit tests.
Implement robust monitoring, logging, and alerting systems to enable proactive issue detection and analysis.
Apply engineering best practices to ensure high-quality, secure, and scalable production deployments.
Provide technical feedback to product engineering partners to evolve AI services and the Power Platform.
Use AI to prototype data engineering solutions including partitioning strategies and schema evolution logic.
What we're looking for
Bachelor's Degree in Computer Science or related technical field and 2+ years of experience coding in languages such as C, C++, C#, Java, JavaScript, or Python.
Master's Degree in Computer Science or related technical field and 3+ years of engineering experience (preferred).
Bachelor's Degree in Computer Science or related technical field and 5+ years of engineering experience (preferred).
Strong foundation in data structures, algorithms, and programming capabilities to solve complex problems.
Experience designing, developing, and operating scalable cloud-based data, analytics, automation, and tooling solutions using modern platforms.
Ability to integrate AI capabilities such as Azure OpenAI, Cognitive Services, and ML models into systems.
Proficiency in implementing robust monitoring, logging, alerting, and telemetry for proactive issue detection.
Experience utilizing AI tools across the software development lifecycle to automate boilerplate code, ensure coding patterns, and generate unit tests.
Microsoft Fabric
Azure
C
C++
C#
Java
JavaScript
Python
Big Data
SDLC
Microsoft Entra ID
App Services
Functions
Event Hubs
Stream Analytics
Azure DevOps
Backend Services