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Overview:
Clipchamp is Microsoft’s video platform, helping people and organizations create, edit, and consume video through simple, accessible experiences backed by a scalable services layer. The team supports millions of customers and continues to grow as video becomes an essential part of modern productivity.
Clipchamp delivers AI‑powered video creation and understanding experiences used across Microsoft 365. These experiences are built on distributed media and AI pipelines that ingest, process, transform, summarize, and deliver customer content in near real time. In this role, you will design, build, and operate backend services that sit on the critical path of these workflows, where reliability, latency, and correctness directly impact customer experiences at global scale.
The team builds reusable platform capabilities—including services, APIs, and feature components—that enable scenarios such as meeting highlights, media ingestion and storage, templates and assets, and rendering and encoding workflows. Engineers use telemetry, experimentation, and customer feedback to continuously improve quality, reliability, and reach across multiple Microsoft surfaces.
Clipchamp is part of the Microsoft Office Productivity Group (OPG), a globally distributed organization. The team works across time zones and locations and is committed to building inclusive, collaborative engineering practices that support flexible ways of working.
Our engineering work spans high‑scale backend services and media workflows, with distributed systems for media ingestion, processing and encoding, metadata, and delivery. The backend is built primarily in C#/.NET using a service‑oriented architecture on Azure, with work across data storage, messaging, and media processing pipelines supported by strong observability and automated deployments. Front‑end experiences are built using React and TypeScript.
AI is rapidly transforming video from a manually produced medium into something people can generate, edit, summarize, and repurpose quickly. In this role, you will help build and scale the backend services that make these AI‑driven video experiences reliable, secure, and broadly available, while also using AI‑assisted tools in day‑to‑day engineering work.
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.
This role is targeting an immediate start date.
- Responsibilities- Designs, builds, and operates backend services in C#/.NET that power video creation and consumption experiences across Microsoft
- Develops and evolves APIs and platform capabilities for media ingestion, processing and encoding workflows, metadata, and content delivery, integrating them into customer‑facing features end to end.
- Applies AI as both a development productivity tool and a runtime capability by designing reliable data flows, identifying failure modes, and implementing observability and fallback strategies.
- Improves service reliability, performance, and security through sound engineering practices such as automated testing, monitoring, and safe deployment strategies, and participates in on‑call support rotations.
- Collaborates with product managers, designers, and partner teams across Microsoft to define requirements, drive technical decisions, and deliver end‑to‑end solutions.
- Uses telemetry, experimentation, and customer feedback to prioritize work and continuously improve platform quality and efficiency.
- Contributes to a healthy engineering culture by reviewing designs and code, sharing knowledge, and supporting teammates.
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 1+ year(s) technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
- Experience building and maintaining production services using C#/.NET or another object‑oriented language.
- Experience working with cloud‑hosted services, including deployment, monitoring, and secure development practices (Azure preferred).
- Experience designing and consuming APIs and building service‑oriented or event‑driven systems.
- Experience with modern web development using React and TypeScript.
- Experience applying engineering fundamentals such as writing maintainable code, testing, debugging, and learning new systems.
- Familiarity with operational practices including monitoring, dashboards, alerts, and participating in on‑call or incident response.
- Exposure to media or video concepts such as encoding, containers/codecs, streaming, or content processing pipelines.
- Experience using AI-assisted engineering tools, including understanding underlying system behavior (e.g., debugging logs, tracing request flows, and validating model-driven outputs).
#EiP #IC2SWE
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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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
ニュース&話題
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