每天進公司後先泡一杯咖啡，與同事打聲招呼。坐在電腦前連上你專屬的AWS 控制台，開始著手處理手上的 Case。
此時，先前安排好的 Training 已經開始，會議室目前已經坐滿了同事。這次課程裡的內容，是如何整合多種 AWS 平台的服務成為解決特定問題的 Solution，是由西雅圖來的資深工程師親自授課。在課堂後的自由提問中，你聽到許多你從未想過的應用場景，而這些想法都是由各地的同事互相討論出來的結果。
吃飯時，你與同事聊到這個 Case，同事也覺得你處理的效率與流程準確性值得在下一次的定期技術分享中拿出來討論。飯後閒暇之餘，你開啟了內部的技術資料庫，開始你自己的進修計畫，並且在雲端資源最充沛的環境中，你持續的學習並且成長。最後，你將你手上需要特別關注的 Case 移交給在國外準備的同事，結束你在 AWS 裡Work/Life Balance 的一天。
Amazon has built a reputation for excellence with recent examples of being named #1 in customer service, #1 most trusted, and #2 most innovative. Amazon Web Services (AWS) is carrying on that tradition while leading the world in Cloud technologies. As a member of the AWS Support team you will be at the forefront of this transformational technology assisting a global list of companies that are taking advantage of a growing set of services and features to run their mission-critical applications. You will work with leading companies in this space and directly with the engineering teams within Amazon developing these new capabilities.
Our Big Data Support team specializes in helping customers with streaming, storing and processing vast amounts of data in the Cloud. Our engineers focus on helping customers use and integrate services in what is arguably our industry's most exciting space. The portfolio of services covers EMR (Hadoop), DynamoDB (NoSQL), ElasticSearch, Kinesis, Athena,& more. We have a team of talented Support Engineers located around the world, and are growing rapidly. Our follow the sun support and shift model mean you will not be on-call. We operate on follow-the-sun model, with support sites in various locations globally, there is no after hours, or on-calls in this role.
Every day will bring new and exciting challenges on the job while you:
• Learn and use groundbreaking technologies
• Apply advanced troubleshooting techniques to provide unique solutions to our customers' individual needs
• Interact with leading technologists around the world
• Work directly with Amazon Web Service architects to help reproduce and resolve customer issues
• Leverage your extensive customer support experience to provide feedback to internal AWS teams on how to improve our services
• Drive customer communication during critical events
• Drive projects that improve support-related processes and our customers’ technical support experience
• Write tutorials, how-to videos, and other technical articles for the customer community
• Work on critical, highly complex customer problems that may span multiple AWS services
Basic Qualifications • Bachelor's degree in Information Science / Information Technology, Computer Science, Engineering, Mathematics, Physics, or a related field • 3 - 8 years of experience in a technical position. • Excellent knowledge of Hadoop architecture and administration and support. • Strong Hadoop troubleshooting skills. • Well versed in maintaining infrastructure of large complex systems/clusters. • Proficient in Linux/Unix system administration skills. • Experienced with Linux system monitoring and analysis. • Should have good understanding of Networking concepts and protocols(DNS, TCP/IP, DHCP, HTTPS etc.) • Be able to read java code, and basic coding/scripting ability in Java, Perl, Ruby, C#, and/or PHP. • Strong analysis and troubleshooting skills and experience. • Good understanding of distributed computing environments • Excellent oral and written communication skills • Customer service experience / strong customer focus • Strong multi-tasking skills • Databases (MySQL, Oracle, MSSQL) • Open to working non-standard hours (no night shifts) including a Sun-Mon or Fri-Sat weekend. Preferred Qualifications • Proficient in Hadoop Map-Reduce and its Eco System [ Zookeeper, HBASE, HDFS, Pig, Hive, spark, etc]. • Expert understanding of ETL principles and how to apply them within Hadoop. • Python, and shell scripting; experience with Java a plus. • Exposure to Virtualization (VMware, Xen, Hypervisor) • Expertise with IPsec, VPN, Load Balancing, Iperf, MTR, Routing Protocols, SSH, Network Monitoring / Troubleshooting tools • Experience managing full application stacks from the OS up through custom applications.