채용
Overview:
As a Service Engineer, you will own the operational health, compliance posture, and live‑site reliability of mission‑critical Microsoft 365 services operating across connected and air‑gapped environments. You will work across incident response, service onboarding, Copilot integrations, privacy and security remediation, and infrastructure configuration to ensure platform readiness, availability, and policy alignment. In this role, you will partner with engineering, security, and platform teams to triage incidents, drive security initiatives, maintain service reliability.
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• You’ll implement high-performance solutions across teams while maintaining a quality checklist with minimal help. You’ll also monitor telemetry data and perform analyses to identify patterns that reveal errors and unexpected problems.
- You will respond to incidents by identifying the level of impact, troubleshooting basic issues, deploying the appropriate fixes, and implementing automations to prevent recurring issues. You’ll also follow prescriptive guidance for security, privacy, and compliance standards.
- You will collaborate within and across teams by proactively and systematically sharing information. You’ll also support your work with others by proactively managing dependencies.
- You will improve the development and operations of systems, platforms, or product features by sharing insights and best practices. You’ll do this by participating in design reviews, incident drills and debriefs, and regular meetings.
Qualifications:
Required Qualifications:
· Bachelor's Degree in Computer Science, Information Technology, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Data Science, Cybersecurity, or related field AND 4+ years technical experience in software engineering, network engineering, service engineering, systems engineering, or industrial controls OR equivalent experience.
· Hands-on experience supporting complex IT environments, with a strong understanding of system and service management challenges.
· Experience operating in large distributed or air-gapped environments, with a focus on reliability, security, and compliance.
· Ability to build consensus and influence across teams to achieve common goals.
· Recent experience with Azure or equivalent hyperscale cloud technologies.
· U.S. citizenship verification is required due to legal and customer requirements for this role.
· Ability to meet Microsoft, customer, and/or government security screening requirements, including an active Top-Secret clearance with CI or FSP (if CI, willingness to upgrade to FSP) and successful completion of the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
· Master's Degree in Computer Science, Information Technology, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Data Science, Cybersecurity, or related field AND 5+ years technical experience in software engineering, network engineering, service engineering, systems engineering, or industrial controls OR Bachelor's Degree in Computer Science, Information Technology, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Data Science, Cybersecurity, or related field AND 5+ years technical experience in software engineering, network engineering, service engineering, systems engineering, or industrial controls OR equivalent experience.
· 3+ year(s) technical experience working with large-scale cloud or distributed systems.
Service 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 소개

Microsoft
PublicMicrosoft Corporation is an American multinational technology conglomerate headquartered in Redmond, Washington.
10,001+
직원 수
Redmond
본사 위치
$3000B
기업 가치
리뷰
3.8
5개 리뷰
워라밸
4.1
보상
4.3
문화
3.4
커리어
3.2
경영진
3.0
65%
친구에게 추천
장점
Excellent compensation and benefits package
Four-day workweek with improved work-life balance
Supportive managers and teams
단점
High-pressure environment causing anxiety
Unprofessional interview processes
Limited creative work opportunities
연봉 정보
5,620개 데이터
Senior/L5
Senior/L5 · Account Management
5개 리포트
$209,483
총 연봉
기본급
$181,941
주식
-
보너스
-
$194,895
$209,483
면접 경험
1개 면접
난이도
4.0
/ 5
소요 기간
14-28주
경험
긍정 0%
보통 0%
부정 100%
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
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