hulu 是 2006 年由美国福克斯广播公司、迪士尼 ABC 电视集团以及 NBC 环球电 视集团三方共同合资建立的一个互联网专业视频服务平台，目前在美国拥有超过 1700 万名的付费用户。2016 年，时代华纳成为 Hulu 的第四个股东。
hulu 的目标是帮助用户在任意时刻、任何地点、以任何方式查找并欣赏到高质 量的电视剧、电影和电视直播。
hulu 的四个技术研发中心分别位于美国总部洛杉矶、西雅图、旧金山及北京。 hulu 北京成立于 2007 年，是除总部外最大的研发中心，目前办公地点位于北京市望京地区。
【我们的福利】
o 免费的早餐和无限量零食饮料
o 津贴:餐费，交通，旅游，健身
o 假期:法定节假，带薪年假，全薪病假
o 健康支持、保险:涵盖配偶及子女的保额百万的高端医疗保险 (私立医院全覆盖报销，三甲医院不用排队挂号)、免费按摩，免费个人财务、法务、心理咨询
o 其他:办理北京工作居住证、免费 hulu VIP 账号，全套高端办公设备(Herman Miller 升降桌/ Haworth/ Apple)
【我们的文化】
o 开放办公室，大佬和你坐一起
o 弹性上班时间，不打卡
o 每个月都有趴体、每个季度团队建设、重要节日庆祝活动
感兴趣请发英文简历至：lingbo.li@Hulu.com
此帖诚招测试开发工程师 - 视频质量方向（英语口语流利）
Summary
Hulu’s Video Quality team is seeking a Software Development Engineer in Test who will be an extraordinary addition to our team! As an SDET at Hulu, you will be a domain expert in video streaming quality, including rebuffer rate, video playback failure rate, video startup failure, and other playback quality of service KPIs. You will play an integral role in defining test strategies, building test automation, investigating/reporting bugs, and collaborating across the Engineering team to release quality software with high confidence in the pursuit of delighting our viewers. Your work will improve functionality, availability, scalability, performance, extensibility, and compatibility of our internal systems. You will setup test automation frameworks, build quality-related tools, and engineer efficient and maintainable test infrastructure. The right person has a strong attention to detail, takes accountability for the definition and delivery of high quality work, demonstrates a strong sense of collaboration in their work and professional relationships, clearly and thoughtfully communicates in their areas of expertise, and empathizes with and advocates for the needs of customers. If you are someone who effectively moves between high-level concepts and low-level execution, then this is a great role for you!
What You'll Do
Develop scalable automated testing strategies
Define/implement/maintain test automation for the Video Quality team, relating to the collection/aggregation/analysis/reporting/alerting of video data and playback quality of service
Identify and drive improvements in engineering methodologies to ensure industry-leading system quality and team efficiency
Contribute to the release process for the Video Quality team
Perform root cause analysis for issues in production/test environments, report defects, and advocate for their resolution
Propose regression tests to discover recurring issues and drive tests to “automation complete”
Collaborate with program managers and software developers to define requirements and ensure testability
Collaborate with partner teams to understand upstream/downstream dependencies, and to facilitate development of integration/end-to-end tests
What To Bring
Bachelor’s degree or the foreign equivalent in Computer Science, Electrical Engineering, Mechanical Engineering, Information Technology, or a closely related field plus 4 years of progressive experience in a software testing (SDET) and/or software development (SDE) occupation, including manual/automated testing of backend services and REST APIs.
Proficiency programming in, at a minimum, one of the following languages with an interest in learning additional languages, as needed: Python, Java, Golang, Kotlin, C/C++, or similar
Experience with stored procedures/SQL queries
Experience with backend test automation frameworks (E.g. pytest, REST Assured, etc.)
Proficient with version control software (E.g. GitHub) and issue/project tracking software (E.g. Jira)
Proficient with software development/debugging tools (E.g. Postman)
Some experience with Jenkins or similar build tools
Experience with qTest or similar test suite/case/run management tools
Experience with Locust, Gatling, or similar frameworks for the purposes of developing performance and reliability test automation coverage
Highly experienced in defining/executing/maintaining test cases and experience with building out test plans for backend services
Deep understanding of quality-related agile methodologies and experience using them during the SDLC
Strong verbal and written communication skills (E.g. diagramming system behavior)
NICE-TO-HAVES
Experience with and understanding of OTT media services, adaptive bitrate streaming (E.g. MPEG-DASH, HLS fMP4), multi-CDN switching, video codecs (E.g. H.264), encryption (E.g. MPEG-CENC), ad insertion (E.g. SCTE-35), and DRM (E.g. PlayReady)
Experience using ffmpeg and other audio/video/streaming libraries
Experience with Amazon Web Services (AWS)
Experience with Docker, Kubernetes, Spinnaker, and CICD
Experience with Kafka
Experience developing advanced mocking mechanisms (E.g. rule-based proxies)
Some experience developing web applications, RESTful APIs, data models, etc.
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