Software Engineer II

Overview

Microsoft Copilot and Agents Core team is looking for a Full Stack Software Engineer to help build the next wave of capabilities for our personalized AI assistant, Copilot. At Microsoft, we push boundaries to deliver exceptional products and services that empower users to be more productive and efficient. If you are passionate about innovation and want to shape the future of AI, this is your opportunity.

In this role, you will work across all four stages of our evaluation platform: data sampling, AI data collection and processing, data analysis and evaluation, and insight generation. You will contribute across the full stack—from backend databases and middle-tier services to browser automation, statistical analysis, and dashboard creation. Expect to dive into prompt engineering and leverage cutting-edge AI tools to drive meaningful impact.

This engineering position offers exposure to a wide range of technologies and surfaces, including desktop, web, and mobile. You will collaborate closely with teams across Microsoft 365 to assess Copilot’s relevance, performance, trustworthiness, and visual appeal. Our platform supports desktop and mobile automation and UX studies—enabling scenarios like multi-turn conversations with voice input on iOS and Android apps. The possibilities are endless.

M365 Copilot is dedicated to advancing Copilot to both consumer and enterprise products and research. Join us in shaping the future of personal computing powered by AI.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

Expertise in experimentation methodologies, including A/B evaluation, data sampling, measurement techniques, evaluation design, and data analysis.

Demonstrating strategic vision by understanding organizational goals, translating metrics into actionable insights, and enhancing product quality.

Designing pipeline architecture to ensure rapid iteration and scalability.

Conducting post-analysis of labeled data and developing dashboards to visualize insights.

Collaborating closely with the product team to enhance quality and address gaps.

Embody our Culture and Values.

Qualifications

Required Qualifications:

Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

OR equivalent experience.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

OR equivalent experience.

2+ years’ experience with SQL, PostgreSQL or MySQL.

2+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP.

Extensive use datastores like RDBMS, key-value stores, etc.

Experience with Development & Debugging with dev environments like Visual Studio or Visual Studio Code

HTML, CSS, JavaScript, ASP.NET, REST, jQuery

Familiarity with browser automation tools like Selenium, Puppeteer or Playwright.

Familiarity with mobile automation tools like Appium

Familiarity with LLMs and AI ChatBots

Prompt Engineering, Prompt Writing/Tuning, Azure DevOps, GIT

Azure Open AI, Azure Foundry

Experience in leading technical projects and supporting architectural decisions with data.

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800 - $219,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.