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Member of Technical Staff - Full Stack Software Engineer at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

0.0

Posted On

03 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

A/B Evaluation, Data Sampling, Measurement Techniques, Evaluation Design, Data Analysis, SQL, PostgreSQL, MySQL, C#, Java, Python, Azure, AWS, GCP, HTML, CSS, JavaScript

Industry

Software Development

Description

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. Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to C#, Java, 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 EngineeringAzure DevOps, GIT Azure Open AI, Azure Foundry Experience in leading technical projects and supporting architectural decisions with data.

Responsibilities

The role involves expertise in experimentation methodologies and designing pipeline architecture for rapid iteration and scalability. Collaboration with the product team to enhance quality and conducting post-analysis of labeled data are also key responsibilities.