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职位Microsoft

Software Engineer

Microsoft

Software Engineer

Microsoft

United States, Multiple Locations, Multiple Locations

·

On-site

·

Full-time

·

1w ago

Overview

Join the Cloud Metadata and Lifecycle Management team, the source of truth for Azure’s cloud metadata and lifecycle operations. Our mission is to deliver safe, fast, scalable, and cost-effective lifecycle management of geo entities, enabling seamless cloud expansions and capacity changes across Microsoft Azure. You’ll work with a passionate group driving innovation in metadata automation, geo expansion, and cloud infrastructure orchestration.

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

As a Software Engineer on our team, you will:

  • Design, build, and maintain services that manage the lifecycle of cloud metadata supporting geography expansions and day‑to‑day Azure operations.
  • Develop and automate workflows that enable building, expanding, and operating the Azure Cloud at scale.
  • Enable secure, efficient, and scalable access to cloud metadata through reliable, well‑designed services and APIs.
  • Collaborate closely with partner teams to improve cloud buildout tools and support a broad range of Azure buildout and lifecycle activities.

Role Expectations:

  • Support the identification of dependencies and contribute to the creation of design documents for product features, with guidance and oversight.
  • Learn to design and implement code for products, services, or features, reusing existing components and patterns where appropriate.
  • Assist in breaking down work items into tasks and provide estimates to support planning and delivery.
  • Act as a Designated Responsible Individual (DRI) for simple scenarios by monitoring systems or features for degradation, downtime, or interruptions, and following established playbooks to recommend and implement recovery actions.
  • Continuously build technical depth by reviewing current developments and proactively seeking new knowledge to improve availability, reliability, efficiency, observability, and performance, while driving consistency in monitoring and operations at scale.

Qualifications

Required Qualifications:

  • Bachelor's Degree in Computer Science, or related technical discipline with proven experience 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 with proven experience 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 2+ 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 cloud infrastructure, metadata management, or lifecycle automation.
  • Familiarity with Azure services, Kusto, Azure Graph.
  • Experience building scalable APIs and distributed systems.

#azurecorejobs #IC2SWE #EIP

Software Engineering IC2 - The typical base pay range for this role across the U.S. is USD $84,200 - $165,200 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 $109,000 - $180,400 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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关于Microsoft

Microsoft

Microsoft

Public

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

10,001+

员工数

Redmond

总部位置

$3000B

企业估值

评价

3.8

5条评价

工作生活平衡

4.1

薪酬

4.3

企业文化

3.4

职业发展

3.2

管理层

3.0

65%

推荐给朋友

优点

Excellent compensation and benefits package

Four-day workweek with improved work-life balance

Supportive managers and teams

缺点

High-pressure environment causing anxiety

Unprofessional interview processes

Limited creative work opportunities

薪资范围

5,620个数据点

Senior/L5

Senior/L5 · Account Management

5份报告

$209,483

年薪总额

基本工资

$181,941

股票

-

奖金

-

$194,895

$209,483

面试经验

1次面试

难度

4.0

/ 5

时长

14-28周

体验

正面 0%

中性 0%

负面 100%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit