refresh

トレンド企業

トレンド企業

採用

求人Google

OTT Live Video Engineer, YouTube

Google

OTT Live Video Engineer, YouTube

Google

·

On-site

·

Full-time

·

2w ago

About the job

As a part of the Over-the-Top (OTT) Live Acquisition Engineering (LAE) team, you will build a future-proof, globally scaled live video platform by building infrastructure, automation, and content systems to ensure the most reliable, resilient, and highest quality streaming experience.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.

The US base salary range for this full-time position is $126,000-$181,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Provide architectural guidance and integration support of network and software buildouts for a globally scaled live streaming platform.

  • Collaborate with content companies, third-party aggregators, and vendors to onboard premium live content to YouTube.

  • Design new metrics and refine existing ones to benchmark stream quality and reliability, standardize and convert operational processes.

  • Lead automation initiatives and alert tuning while serving as the executive escalation point for stream impacting issues.

  • Drive a roadmap for operational tooling initiatives, and partner with software engineering teams to design and implement solutions.

Minimum qualifications

  • Bachelor’s degree or equivalent practical experience.

  • 3 years of experience in a technical video system in a technical environment.

  • 1 year of experience in technical troubleshooting, writing code or technical project management.

Preferred qualifications

  • 3 years of experience in technical troubleshooting, and managing internal/external partners or customers.

  • 2 years of experience in solutions engineering, solutions architecture or software architecture.

  • 2 years of experience with streaming service or in broadcast media digital distribution.

  • Experience with video streaming back-end platforms such as video transport, video processing, Content Delivery Network (CDN) or client Adaptive Bitrate Streaming (ABR) playback.

総閲覧数

0

応募クリック数

0

模擬応募者数

0

スクラップ

0

Googleについて

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

従業員数

Mountain View

本社所在地

$1,700B

企業価値

レビュー

3.7

25件のレビュー

ワークライフバランス

3.8

報酬

4.2

企業文化

3.4

キャリア

3.9

経営陣

2.8

68%

友人に勧める

良い点

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

改善点

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

給与レンジ

57,502件のデータ

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0件のレポート

$176,704

年収総額

基本給

-

ストック

-

ボーナス

-

$150,298

$203,110

面接体験

9件の面接

難易度

3.4

/ 5

期間

14-28週間

内定率

44%

体験

ポジティブ 0%

普通 56%

ネガティブ 44%

面接プロセス

1

Application Review

2

Online Assessment/Technical Screen

3

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

Product Sense