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Senior Software Engineering, Teams Services
United States, Washington, Redmond
·
On-site
·
Full-time
·
2mo ago
報酬
$119,800 - $234,700
必須スキル
C
C++
C#
Java
JavaScript
Python
Overview:
Are you passionate about building high-scale, reliable, and intelligent cloud services? The Microsoft Teams Core Services team powers the foundation of one of Microsoft’s fastest-growing products, serving over 330 million users around the world. As part of our team, you’ll help develop resilient infrastructure that supports hyper-scaling, powers expansion into specialized clouds, and upholds the service fundamentals of performance, availability, and security. You’ll be part of a high-energy, collaborative team that values learning, ownership, and engineering excellence.
As a Senior Software Engineer, you will design, build, and operate mission-critical backend services that support the scale and growth of Microsoft Teams. You will lead efforts to improve resiliency, performance, and reliability of core systems, and contribute to AI-assisted initiatives that enhance developer productivity. This opportunity will allow you to grow your expertise in distributed systems, drive service excellence, collaborate across global teams, and expand your leadership impact.
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- Design and implement scalable, performant, and resilient backend services to support Microsoft Teams scenarios.
- Own live site operations for the services you build — monitoring health, diagnosing issues, and driving incident resolution.
- Apply cloud resiliency patterns such as circuit breakers, retries, bulkhead isolation, throttling, and stale cache strategies.
- Partner across disciplines and geographies to deliver cross-team initiatives and integrated services at scale.
- Participate in efforts to enhance engineering productivity using AI technologies and automation, contributing to a culture of continuous learning and improvement.
- Mentor junior engineers through code reviews, design guidance, and knowledge sharing.
- Contribute to service infrastructure and observability efforts to support hyper-scale growth and specialized cloud expansion.
Qualifications Required Qualifications:
- 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, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Preferred Qualifications:- Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or PythonOR Bachelor's Degree in Computer Science or related technical field AND 8+ 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 distributed systems, microservices architecture, and high-throughput, low-latency services and operating backend services in a cloud environment (Azure, AWS, GCP).
- Familiarity with AI-assisted development tools or interest in enhancing developer workflows through automation.
- Solid collaboration, communication, and partnership skills with a global, cross-functional team.
- Passion for technical excellence, growth mindset, and mentoring others.
#Distributed Systems #Cloud Computing #High Scale Systems #Reliability Engineering #Service Architecture #backend #linux #scalable #performance
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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
PublicMicrosoft 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
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