商用型保固介紹-2
ProSupport Plus的部分，更另外提供如更換後保留硬碟(Retention of hard drive after replacement)、意外保固(Repairs for accidental damages like drops, spills and electrical surges)……等服務。
與家用型保固一樣，意外保固也可以額外購買；硬碟保留服務(Keep Your Hard Drive)主要是針對有機敏資料的使用者，DELL筆電的維修工程師在維修硬碟後，更換下來之原始硬碟可以保留在用戶手中，以確保機敏資料不會外洩；另外可以選購的還有電池延長保固(Extended Battery Service)等。
其實若真的要選擇，ProSupport就很夠用了，畢竟每個區域的服務支援程度都不太一樣，詳情仍建議參考DELL筆電官方網站說明為主。
額外一提，DELL筆電有針對ProSupport Plus拍攝了一支短片作為介紹，可以發現其最主要的價值在於服務，使用者僅需專注於電腦本業，其他支援服務則交由專業的DELL保固支援處理。
更多關於DELL筆電，請到：
https://www.shopjkl.com/pages/dell
#網購 #代購 #JKL美國代買
retention工程 在 [徵才] Retention Science軟體工程師160-240萬- 看板Soft_Job 的推薦與評價
We are looking for senior software engineers in our data engineering team at R
etention Science. As a Senior Software Engineer, you'll be leading ReSci's eff
orts in building scalable backend services and real time data pipelines that s
upport over 350 million users and thousands of events per second. You will be
a driving force in supporting and scaling ReSci's data infrastructures. Your d
esigns and code will bring in data to power Cortex, our core product -- an AI
marketing platform that makes over three billion machine learning predictions
daily, across over 350 million users, to execute marketing campaigns for some
of the most iconic brands on the planet, including Procter & Gamble, SK-II, Gi
llette, Filson, Olay ... and many more.
In addition to having meaningful influence on our product designs and decision
s, you will also receive comprehensive exposure to all aspects of our technolo
gies and businesses. The code and ideas that you contribute will have a tangib
le impact on the team, company, and marketing-tech industry as a whole.
You will:
Lead development efforts in building, maintaining, and scaling micro service
s
and pipelines written in Scala and Python.
Collaborate extensively with other engineering teams and PMs on major projects
that involve scaling and feature development.
Scale our ETL framework to support data processing in technologies such as Spa
rk, Athena, Snowflake … etc.
Architect real time pipeline using technologies like Kinesis, Lambda, SQS … e
tc.
Manage and implement scalable monitoring and escalation strategies across our
systems.
Act as a technical architect and elegantly separate domain models to ensure pa
rtner complexity doesn't leak into our app.
Work and play with many cutting edge technologies such as AWS Lambda, Kinesis,
SQS, RDS, Dynamo, Athena, Snowflake, Spark, Flink, HDFS, S3, ElasticSearch, E
CS/Fargate, Presto, Cadence/Temporal, Serverless Framework, Docker, Terraform
... and many more.
You will be a good fit if you:
Enjoy freedom and take responsibility in a remote first environment.
Are excellent at communicating clearly. (In English of course)
Know how to effectively and efficiently collaborate with people around the wor
ld.
Can manage multiple projects concurrently and prioritize effectively.
Are curious and always learning.
Strive to write clean and well-tested code.
Are highly driven, gritty, and scrappy when you need to be.
Leverage open source technologies in a smart and practical way to solve proble
ms while creating maintainable and evolving systems.
Enjoy maintaining a high standard and discussing code quality and design patte
rns with peers.
Have startup work experience!
Qualifications:
5+ year software engineering experience (data engineering preferred).
Experience in Scala and Python or can pick up the languages quickly.
Experience in technologies including AWS Lambda, Kinesis, SQS, Athena, Spark,
Flink, HDFS, S3, ECS/Fargate, Presto, Cadence/Temporal, Serverless Framework,
Docker, Terraform … etc.
Experience designing and implementing real time pipelines and microservices.
Experience scaling large databases and data intensive applications.
Experience in creating clean and robust RESTful APIs.
Deep understanding of MySQL, Snowflake, ElasticSearch, Dynamo and other databa
ses.
Expert in designing fault-tolerant systems.
About the company:
ReSci's mission is to make artificial intelligence accessible and usable for b
rands around the globe.
Based out of Santa Monica, California, our team consists of serial entrepreneu
rs. Our SaaS platform, "Cortex" helps online businesses target, engage, and re
tain customers. The Cortex marketing platform uses machine learning algorithms
to predict customer behavior by analyzing massive sets of demographic, social
, and behavioral data and generate retention campaigns personalized to each cu
stomer.
Our founders have been recognized as the Ernst & Young Entrepreneurs of the Ye
ar, and our company was awarded Top 10 Big Data Startup of the Year by CRN, on
e of Fast Company's Innovation Agents, Top 10 Software Company in Southern Cal
ifornia from SocalTech, and identified by Inc. Magazine as one of the most inn
ovative startups. Retention Science has also been featured in Forbes, the Wall
Street Journal, TechCrunch, Bloomberg, and Reuters, among other notable publi
cations.
We're passionate about what we do and we put our people first! We are a close-
knit family whose members drink too much coffee, work hard, and never cease to
brainstorm creative new ways to improve our solutions. We foster a dynamic an
d exciting start-up environment that is conducive for innovative thought; join
us if you are interested in working with our world-class team!
About the parent company:
ReSci is owned by Constant Contact, Inc. a recognized brand and leader in the
email marketing space. Constant Contact services to hundreds of thousands of s
mall businesses and nonprofits, helping these organizations connect with their
customers, clients, and members. Constant Contact champions the needs of smal
l organizations and provides an easy, affordable way to build successful, last
ing customer relationships.
To apply:
Please send your english resume to this email address and we will reach out to
you. Thanks!
[email protected]
Retention Science 誠徵數據工程 (data engineering) 團隊中的資深軟體工程師 (seni
or software engineer) 。作為資深軟體工程師，您將在 ReSci 構建可擴展的後端服務
和即時數據工作流，支持超過 3.5 億使用者和每秒數千個訊息。您將成為支持和擴展 Re
Sci 數據基礎架構的推動力。您的設計和程式將資料注入我們的核心產品 Cortex：一個
AI 營銷平台，每天在超過 3.5 億使用者中進行超過 30 億次機器學習預測，為世界上一
些最具標誌性的品牌執行營銷任務，保括 Procter & Gamble, SK-II, Gillette, Filson
, Olay…等。
除了對我們的產品設計和決策產生有顯著的影響外，您還將全面了解我們的技術和業務。
您貢獻的程式和想法將對整個團隊、公司、產業產生重要的影響。
您的工作包含：
擔任領導得角色，使用 Scala 和 Python 開發、維護、擴展微服務 (micro services)
和數據工作流 (data pipelines)。
在涉及擴展和功能開發的主要項目上與其他工程團隊和產品經理進行廣泛合作。
使用 Spark、Athena、Snowflake 等技術來擴展我們的 ETL 框架以支持後台數據處理。
使用 Kinesis、Lambda、SQS 等技術構建即時數據工作流。
在我們的系統中管理和建立可擴展的監控和警報策略。
擔任技術架構師並優雅地分離領域模型 (domain models) ，以確保合作夥伴的複雜性不
會漏到我們的應用程序中。
使用許多尖端技術，例如 AWS Lambda、Kinesis、SQS、RDS、Dynamo、Athena、Snowflak
e、Spark、Flink、HDFS、S3、ElasticSearch、ECS/Fargate、Presto、Cadence/Tempora
l、Serverless Framework、Docker、Terraform …等。
如果您符合以下條件，您將非常適合：
在遠距工作的環境中享受自由並承擔責任。
擅長清晰地溝通。（英文）
能夠如何與世界各地的人們進行有效和高效的合作。
可以同時管理多個項目並有效劃分優先次序。
好奇心強，永遠在學習。
努力編寫乾淨且經過良好測試的程式。
當需要的時候，是奮發努力的、鬥志旺盛的。
善用開源技術解決問題，同時創建可維護和不斷發展的系統。
享受維持高標準及和 同儕討論程式質量、設計模式。
創業工作經驗加分。
經歷要求：
5年以上軟件工程經驗（數據工程相關）。
有 Scala 和 Python 方面的經驗，或者可以快速掌握語言。
有 AWS Lambda、Kinesis、SQS、Athena、Spark、Flink、HDFS、S3、ECS/Fargate、Pres
to、Cadence/Temporal、Serverless Framework、Docker、Terraform 等技術經驗。
有設計和開發實即時數據工作流和微服務的經驗。
有擴展大型數據庫和數據密集型應用程序的經驗。
有創建乾淨、健全的 RESTful API 的經驗。
深入了解MySQL、Snowflake、ElasticSearch、Dynamo … 等數據庫。
設計高容錯系統的專家。
關於我們公司：
ReSci 的使命是讓全球的品牌都能輕易使用人工智能。
我們的團隊位於加利福尼亞州 (California) 聖莫尼卡 (Santa Monica)，由連續創業者
組成。我們的 SaaS 平台 “Cortex” 幫助在線企業瞄準、吸引和留住客戶。 Cortex 營
銷平台使用機器學習算法通過分析大量人口統計、社交和行為數據來預測使用者行為並為
客戶執行個人化的行銷任務。
我們的創始人被評為安永 (Ernst & Young) 年度企業家，我們公司被Fast Company的創
新代理商之一CRN評為年度十大大數據初創公司，SocalTech南加州十大軟件公司，並確定
被 Inc. 雜誌評為最具創新性的初創公司之一。 Retention Science 還出現在福布斯、
華爾街日報、TechCrunch、彭博社和路透社等著名出版物中。
我們對工作充滿熱情並將員工放在首位！我們是一個親近的大家庭，我們的成員喝了太多
咖啡，努力工作，並且從不停止集思廣益以改進我們解決問題的方法。我們營造一個充滿
活力和令人興奮並充滿創新思維的環境；如果您有興趣與我們世界一流的團隊合作，請加
入我們！
關於母公司：
Constant Contact, Inc. 是 ReSci 的母公司，是電子郵件行銷領域的知名品牌和領導者
。 Constant Contact 為數十萬家小型企業和非營利組織提供服務，幫助這些組織與其客
戶和成員建立聯繫。 Constant Contact 支持小型組織的需求，並提供一種簡單、經濟的
方式來建立成功、持久的客戶關係。
申請方式：
請將您的英文簡歷發送至此電子郵件地址，我們將與您聯繫。 如果有任何問題，也歡迎
來信詢問。謝謝！
[email protected]
--
※ 發信站: 批踢踢實業坊(ptt.cc), 來自: 114.136.161.172 (臺灣)
※ 文章網址: https://www.ptt.cc/bbs/Soft_Job/M.1635666081.A.11C.html
※ 編輯: zezeh (114.136.161.172 臺灣), 10/31/2021 15:44:55
※ 編輯: zezeh (114.136.161.172 臺灣), 10/31/2021 15:47:52
有問題的話請寄email詢問比較方便
※ 編輯: zezeh (223.137.237.92 臺灣), 10/31/2021 18:40:20
※ 編輯: zezeh (223.137.237.92 臺灣), 10/31/2021 18:59:48
... <看更多>