This role pays more than
70%
of similar roles. Most pay
$133,750–$169,050
— the shaded band above.
At the midpoint, this role pays about
$152k
versus about
$151k
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
598 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 586 roles with salary data.
As a Software Engineer II - CoreAI on the Engineering Thrive Insights team, you will design and operate data-driven Python services that power tools measuring and improving the developer experience. You will build products like ThriveIQ and Data Flywheel to provide natural language interfaces for engineering metrics and create agentic coding tool improvement loops. Your daily work involves developing privacy-by-design metric APIs, implementing dimensional modeling, and building MCP servers while utilizing AI coding assistants in your workflow. The role requires proficiency in Python, SQL, KQL, and Spark-based big data platforms like Databricks. You will also leverage developer productivity frameworks such as DORA and SPACE to solve problems related to change velocity, build quality, and software engineering efficiency. Key technical skills include REST API development, CI/CD pipelines, infrastructure-as-code, and production monitoring for high-scale systems.
What does a Software Engineer earn in Washington?
Median $202800 from 326 postings across 28 companies.
Design and operate Python services that power engineering metrics and developer productivity tools.
Develop data products like ThriveIQ and Data Flywheel using natural language interfaces and agentic coding loops.
Implement scalable, maintainable code for features while incorporating security and privacy-by-design principles.
Build and integrate LLM-powered tools, AI agents, and MCP servers into the development ecosystem.
Utilize generative AI tools and practices throughout the software development lifecycle to produce high-quality artifacts.
Perform on-call duties as a designated responsible individual to monitor systems and resolve service interruptions.
Analyze and define developer productivity metrics using frameworks like DORA and SPACE.
What we're looking for
Bachelor's Degree in Computer Science or related technical field and 2+ years of experience coding in languages like C, C++, C#, Java, JavaScript, or Python.
Ability to pass Microsoft Cloud background checks and other required security screenings.
Experience with dimensional modeling and analytics engineering, such as star schemas or medallion architecture (preferred).
Experience with analytical query languages including SQL, KQL, and Azure Data Explorer (preferred).
Experience developing applications on Spark-based big data platforms like Databricks (preferred).
Experience building REST APIs, MCP servers, or integrating LLM-powered tools and AI agents (preferred).
Experience with DevOps, CI/CD pipelines, infrastructure-as-code, and production monitoring (preferred).
Familiarity with developer productivity frameworks like DORA or SPACE and demonstrated use of AI coding assistants (preferred).
Python
JavaScript
TypeScript
C#
Java
C++
C
Azure
APIs
CI/CD
DevOps
Distributed Systems
Machine Learning
Prompt Engineering
Source Control
Observability
Telemetry
Data Structures
Algorithms
Python
C#
Java
Go
JavaScript
C++
C
Kubernetes
Azure
Generative AI
Agentic Systems
Observability
Prompts
Container Orchestration
Cloud-native Infrastructure