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求人Microsoft

Software Engineer II

Microsoft

Software Engineer II

Microsoft

United States, Washington, Bellevue

·

On-site

·

Full-time

·

2w ago

Overview:

Imagine helping millions of users discover the best local businesses and services—right when they need them. At Bing Places, we’re on a mission to improve the quality and relevance of local search results across Microsoft platforms. You’ll be part of a team that blends data science, engineering, and product thinking to deliver intelligent, high-impact experiences that shape how people interact with the world around them.

As a Software Engineer II in Bing Places, you will design and build scalable systems that enhance the accuracy, freshness, and trustworthiness of local search results. You’ll collaborate across disciplines to integrate diverse data sources, develop intelligent ranking algorithms, and ship features that directly impact millions of users. This opportunity will allow you to accelerate your career growth, deepen your understanding of geospatial and business data, and sharpen your skills in distributed systems and machine learning. We offer flexible work arrangements, including partial work-from-home options.

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.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

  • Responsibilities- Works with appropriate stakeholders to determine user requirements for a set of features.
  • Contributes to the identification of dependencies, and the development of design documents for a product area with little oversight.
  • Creates and implements code for a product, service, or feature, reusing code as applicable.
  • Contributes to efforts to break down larger work items into smaller work items and provides estimation.
  • Acts as a Designated Responsible Individual (DRI) working on-call to monitor system/product feature/service for degradation, downtime, or interruptions and gains approval to restore system/product/service for simple problems.
  • Remains current in skills by investing time and effort into staying abreast of current developments that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.

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 PythonOR equivalent experience.
  • 2+ years of experience in solving, design, coding, and debugging skills.
  • 1+ with data engineering leveraging tools such as Apache Hadoop or Spark or equivalent experience.

Addtional or 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
  • 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.
  • Experience with Azure Cloud, Azure Data Factory (ADF) or Azure Machine Learning (AML).
  • Demonstrated experince with products that involve high availabilty/reliability and low latency systems.

#MicrosoftAI

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

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

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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Microsoftについて

Microsoft

Microsoft

Public

Microsoft Corporation is an American multinational technology conglomerate headquartered in Redmond, Washington.

10,001+

従業員数

Redmond

本社所在地

$3000B

企業価値

レビュー

3.8

5件のレビュー

ワークライフバランス

4.1

報酬

4.3

企業文化

3.4

キャリア

3.2

経営陣

3.0

65%

友人に勧める

良い点

Excellent compensation and benefits package

Four-day workweek with improved work-life balance

Supportive managers and teams

改善点

High-pressure environment causing anxiety

Unprofessional interview processes

Limited creative work opportunities

給与レンジ

5,620件のデータ

Senior/L5

Senior/L5 · Account Management

5件のレポート

$209,483

年収総額

基本給

$181,941

ストック

-

ボーナス

-

$194,895

$209,483

面接体験

1件の面接

難易度

4.0

/ 5

期間

14-28週間

体験

ポジティブ 0%

普通 0%

ネガティブ 100%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit