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On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
Cloud Services Manager @AIA2021 ~ 2022
・
DevOps Engineer, Site Reliability Engineer
一個月內
platforming and seamless lift-and-shift operations Vizag, India [email protected] PhLinkedIn Cloud Platform Microsoft Azure Amazon Web Service (AWS) Kubernetes, Redhat OpenShift AliBaba Cloud GCP AZURE: Azure VM, V-Net, Subnet, NSG, ASG, Azure storage,Access Control, Blob, Subscription Administration, AZURE Monitor, AKS, Azure DevOps DevOps & SRE Jenkins, ArgoCD, Docker, Packers Git , GitLabs , BitBucket, GitOps Maven, Ansible, Jforg, Chef, Vagrant, Msbuild, Build and Release, Deployment Strategies, Management , Vantage, Infra Cost Optimisation. AWS : EC2, S3, IAM, Route53, VPC, Autoscaling, EBS, ELB, ElasticSearch, CloudWatch, RDS, Lambda, EKS, MSK, AWS Secrets , Lambda, AWS DevOps, Kinesis , GaurdDuty
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
10 到 15 年
Sikkim Manipal University
・
Information Technology
Senior Software Engineer
一個月內
CHIEN HUNG, LIU Software Engineer | Quality Assurance | Industrial Electromechanical Control A software engineer with over ten years of experience in quality assurance for IBM Security products. Possessed comprehensive QA skills, including system administration and integration, security, test infrastructure, networking, automation, and Python programming. Also experienced in collaborating with teams across countries and cultural boundaries. In 2018, joined IBM Cloud as a DevOps Engineer in Shanghai and worked there untilRecently completed industrial electromechanical control training and obtained certifications in www.linkedin.com/in/wesley990 [email protected] Areas of professional skills Test
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
National ChangHua University of Education
・
Computer Science
AI Engineer/系統開發工程師 @中信金控_台灣人壽保險股份有限公司2022 ~ 現在
・
AI Engineer
一個月內
— GISH G SUMMARY Aiming to be a data scientist unicorn who excels at applied machine learning in a business/finance-related field. DevOps Engineer(Python) for Automatic Claim Processor (ACP) - OCR System (Hospital Diagnosis/Receipt). Applying tree-based algorithms to model Credit Scoring predictions in the finance industry. Achieving Hyperautomation through AI and RPA, which uses a special set of tools to automate tasks. Working Experience NovNow Artificial Intelligence Engineer @ CTBC Taiwan Life Insurance AI Team DevOps Engineer(Python) for Automatic Claim Processor (ACP) - OCR System (Hospital Diagnosis/Receipt) 1.
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
國立台灣大學 National Taiwan University
・
Business Administration
Engineer @鴻霖2022 ~ 現在
・
軟體工程師
一個月內
年1月 - 現在 MOP 開發 資料庫schema設計和制定RESTful API規格 開發運輸管理系統RESTful API（Python Flask） 為OP/CS開發Web應用程式（使用Python Flask和React） DevOps Engineer，趨勢科技，2019年8月年1月 SDZ 後端設計 Autoscale 模組開發(python) Infrastructure as code (terraform) Manage account 設計開發 提供使用者便利的方法初始化預先設
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
國立中正大學
・
資訊工程
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
California Lutheran University
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
4 到 6 年
國立台北科技大學 NTUT
・
Electronic Engineering就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
4 到 6 年
輔仁大學 Fu Jen Catholic University
・
資訊工程
Senior DevOps Engineer @WOO Network2023 ~ 現在
・
SRE /DevOp engineer
一個月內
WAN, JIUN-WEI I like to research new technologies and be able to learn to apply them to projects at work, and have the ability to solve problems and contribute source code when using open source software to develop or build services. I have contributed to projects such as Gin , Tempo , Knative Serving , OpenTelemetry Operator , Gatus and have been merged back into the main branch. Experience WOO Network Senior DevOps Engineer~ Present Taipei, Taiwan Application Infrastructure & Observability Services required to maintain exchange backend services on Google Cloud , including VPC , Cloud NAT , GKE , PubSub , GCS and LoadBalancer . Also
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
4 到 6 年
National Taipei University of Technology
・
資訊工程學系
Sr DevOps Engineer @SoftElevation2022 ~ 現在
・
Senior DevOps Engineer
一個月內
Harish Kumar "Mastering the Art of DevOps: Elevating Skills in Sync with Company Growth" Mohali, India Work Experience Sr DevOps Engineer • SoftElevation NovemberPresent -- Working on the product in TEVVO(HealthCare) as build and release management * Using Different Tech Eg- Aws, OpenSearch, Kafka, bitbucket pipelines, Vpn, Terraform Etc. -- Managing other product GMT(HealthCare) * Using Rds, Ec2, Sns, Ses, Jenkins, Terraform, Load Balancer, Autoscaling Etc. -- Managing one more project Maxi Locker (like Digi locker) * Using the same as above with Lamda, IOT services, IAM, and CloudWatch agents for logs Sr. Automation Engineer • Master Software Solutions OctoberMayManaging in-house projects
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
6 到 10 年
Sikkim Manipal University - Distance Education
・
Information Technology
資深後端工程師 @EPIC MEDIA SDN BHD2024 ~ 現在
・
Senior Backend Engineer & DevOps
一個月內
葉子祥/Kanou HI, 我是kanou，一位後端工程師 過去主要負責網路平台的後端維護與功能開發。 喜歡研究雲端技術和有興趣的開源專案 以下是我的一些經驗和技能 - 2 年 DevOps 經驗 - 5 年 Node.js/PHP/GO 後端開發經驗 - 開發網路平台和基於 KAFKA 的流處理應
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
4 到 6 年
東海大學 Tunghai University
・
資訊軟體工程最輕量、快速的招募方案，數百家企業的選擇
搜尋履歷，主動聯繫求職者，提升招募效率。
- 瀏覽所有搜尋結果
- 每日可無限次數開啟陌生對話
- 搜尋僅開放付費企業檢視的履歷
- 檢視使用者信箱 & 電話
搜尋技巧
1
嘗試搜尋最精準的關鍵字組合
資深 後端 php laravel
2
將須完全符合的字詞放在雙引號中
"社群行銷"
3
在不想搜尋到的字詞前面加上減號，如果想濾掉中文字，需搭配雙引號使用 (-"人資")
UI designer -UX
職場能力評價定義
專業技能
該領域中具備哪些專業能力（例如熟悉 SEO 操作，且會使用相關工具）。
問題解決能力
能洞察、分析問題，並擬定方案有效解決問題。
變通能力
遇到突發事件能冷靜應對，並隨時調整專案、客戶、技術的相對優先序。
溝通能力
有效傳達個人想法，且願意傾聽他人意見並給予反饋。
時間管理能力
了解工作項目的優先順序，有效運用時間，準時完成工作內容。
團隊合作能力
具有向心力與團隊責任感，願意傾聽他人意見並主動溝通協調。
領導力
專注於團隊發展，有效引領團隊採取行動，達成共同目標。
專業背景
目前狀態
就職中
求職階段
目前沒有興趣尋找新的機會
專業
其他
產業
軟體
工作年資
2 到 4 年
管理經歷
技能
語言能力
English
・
中階
求職偏好
希望獲得的職位
軟體工程師
預期工作模式
全職
期望的工作地點
日本東京都, 台灣台北市
遠端工作意願
對遠端工作有興趣
接案服務
是，我利用業餘時間接案
學歷
學校
台科大
主修科系
電子工程係(計算機組)
Cheng-Ming, Kuo 郭政旻
I love coding because it simplifies many things in life. During my spare time, I always work to improve my coding abilities and hope to contribute to open-source projects.
[email protected]
0953-866-708
Expecting work region: Taipei
Education
Nation Taiwan University of Science and Technology (NTUST), 2014 - 2016
Chung Yuan Christian University (CYCU), 2010 - 2014
Skills
Python
Web
DevOps
Work Experience
Unnotech (創順科技), 2017.10 - now
DevOps Engineer, 2018-6 - present
As a DevOps Engineer, my responsibilities include:
- Migrating production services from Docker Swarm to GCP Kubernetes.
- Using Helm to manage our Kubernetes applications.
- Implementing a Helm template for pgbouncer (a connection pool package) to use with our cloudSQL.
- Using cloudSQL replica to implement database Read/Write splitting.
- Monitoring the services with Prometheus, Grafana, and Sentry.
- Implementing CI/CD with Drone (previously used Jenkins).
- Developing a geoip plugin for caddy2.
- Ensuring high availability and auto-recovery when encountering problems.
Tech stack: GCP, Kubernetes, Docker, Helm, Drone, Nginx
Backend Engineer, 2017-10 - present
As a Backend Engineer, my responsibilities include:
- Planning and implementing the functional architecture of the company's main product.
- Optimizing ORM SQL and using appropriate caching techniques to mitigate database load and reduce response time.
- Managing and preventing high-concurrency web robot attacks.
- Planning and implementing a project to crawl crypto exchange information.
- Constructing and maintaining RESTful APIs.
- Communicating with frontend teams through APIs and providing them with necessary support.
- Developing microservices and communicating with our services.
- Developing an asynchronous script to test server stability.
- Using Swagger to create API documentation.
Tech stack: Python Django, Postgres, Celery, Redis, Asyncio, RabbitMQ
Personal works, 2017.3 - 2017.7
Web application produced by Python Django framework.
- This application is similar to Twitter, allowing users to register, post articles, and engage with content through commenting and liking.
- This project involves web scraping the YouTube website.
Deployed in Heroku. (Test account : test, password : test1234)
WAP interview Interm, 2017.5
I had the opportunity to interview for an internship with Works Application, a company based in Japan.
The project topic was to design an ERP system for a large chain bookstore. I implemented the system using Java and presented a demo to their engineering team.
Master's Dissertation
High energy consumption of data centers is an important issue which is widely discussed. Dynamic consolidation of Virtual Machine (VM) can reduce energy consumption by concentrating the workload of active hosts. However, VM migrations would cause some cost and consolidation might bring more resource demands and lead to violate service level agreements (SLA) between cloud computing providers and users.
We proposed a VM allocation mechanism by using the requirement history of VMs to calculate standard deviations (STD), the mechanism can predict future resource requirements of each VM and reallocate VMs into the server under the QoS requirements. When some servers overload in a datacenter, suitable VMs are selected from these servers and migrated to appropriate servers to meet the requirement of SLA. On the other hand, when some servers underload, all VMs are migrated out from underload server, switched to sleep mode. Compared to the heuristics proposed in previous studies, the proposed method could greatly decrease number of migrations、SLA violations and execution time.
Cheng-Ming, Kuo 郭政旻
I love coding because it simplifies many things in life. During my spare time, I always work to improve my coding abilities and hope to contribute to open-source projects.
[email protected]
0953-866-708
Expecting work region: Taipei
Education
Nation Taiwan University of Science and Technology (NTUST), 2014 - 2016
Chung Yuan Christian University (CYCU), 2010 - 2014
Skills
Python
Web
DevOps
Work Experience
Unnotech (創順科技), 2017.10 - now
DevOps Engineer, 2018-6 - present
As a DevOps Engineer, my responsibilities include:
- Migrating production services from Docker Swarm to GCP Kubernetes.
- Using Helm to manage our Kubernetes applications.
- Implementing a Helm template for pgbouncer (a connection pool package) to use with our cloudSQL.
- Using cloudSQL replica to implement database Read/Write splitting.
- Monitoring the services with Prometheus, Grafana, and Sentry.
- Implementing CI/CD with Drone (previously used Jenkins).
- Developing a geoip plugin for caddy2.
- Ensuring high availability and auto-recovery when encountering problems.
Tech stack: GCP, Kubernetes, Docker, Helm, Drone, Nginx
Backend Engineer, 2017-10 - present
As a Backend Engineer, my responsibilities include:
- Planning and implementing the functional architecture of the company's main product.
- Optimizing ORM SQL and using appropriate caching techniques to mitigate database load and reduce response time.
- Managing and preventing high-concurrency web robot attacks.
- Planning and implementing a project to crawl crypto exchange information.
- Constructing and maintaining RESTful APIs.
- Communicating with frontend teams through APIs and providing them with necessary support.
- Developing microservices and communicating with our services.
- Developing an asynchronous script to test server stability.
- Using Swagger to create API documentation.
Tech stack: Python Django, Postgres, Celery, Redis, Asyncio, RabbitMQ
Personal works, 2017.3 - 2017.7
Web application produced by Python Django framework.
- This application is similar to Twitter, allowing users to register, post articles, and engage with content through commenting and liking.
- This project involves web scraping the YouTube website.
Deployed in Heroku. (Test account : test, password : test1234)
WAP interview Interm, 2017.5
I had the opportunity to interview for an internship with Works Application, a company based in Japan.
The project topic was to design an ERP system for a large chain bookstore. I implemented the system using Java and presented a demo to their engineering team.
Master's Dissertation
High energy consumption of data centers is an important issue which is widely discussed. Dynamic consolidation of Virtual Machine (VM) can reduce energy consumption by concentrating the workload of active hosts. However, VM migrations would cause some cost and consolidation might bring more resource demands and lead to violate service level agreements (SLA) between cloud computing providers and users.
We proposed a VM allocation mechanism by using the requirement history of VMs to calculate standard deviations (STD), the mechanism can predict future resource requirements of each VM and reallocate VMs into the server under the QoS requirements. When some servers overload in a datacenter, suitable VMs are selected from these servers and migrated to appropriate servers to meet the requirement of SLA. On the other hand, when some servers underload, all VMs are migrated out from underload server, switched to sleep mode. Compared to the heuristics proposed in previous studies, the proposed method could greatly decrease number of migrations、SLA violations and execution time.