DevOps工程师
DevOps Engineer
这是一个远程职位。
在点击申请前，请仔细阅读整个职位描述。职位描述中提到了一个由11个字符组成的法语单词 frenchword_i_a_g_e_t_，以及一种冷酱汁。您需要在后续的申请表中输入这个法语单词。填写错误的申请将不会被处理。点击申请后，您将进入评估页面，需要花费三分钟回答一些技术问题。跳过或未通过评估的申请将不会被处理。
Busigence 是一家决策智能公司。我们通过结合数据、技术、业务和行为，为真实的人创造决策智能产品，以增强决策能力。
DevOps 工程师
团队：工程部
地点：远程
相关经验：6 个月 - 4 年
背景：经验丰富
薪酬：高于行业标准
要求
这是一个紧急需求。我们将进行加速面试流程以便快速完成招聘——您需要积极主动并及时响应
远程职位（可在家办公）
需要立即入职的请申请
有 DevOps 经验（课程/竞赛/实习/工作，<4 年）
具有竞争力的薪酬
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| 必须具备 |
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1. 使用自定义应用程序构建 Docker 镜像
2. 在虚拟机上部署构建的 Docker 镜像
3. 在容器服务上部署构建的 Docker 镜像
4. 在 Kubernetes 服务上部署构建的 Docker 镜像
5. 部署 Kubernetes Deployment
6. 在 AWS/Azure（优先）或 GCP 中实现身份服务
7. 实现 Python 应用程序的容器化
8. 在大规模环境中实现 CI/CD 流水线
如果您不符合上述所有“必须具备”条件，请不要申请
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我们提供最具挑战性和令人兴奋的 DevOps 工程工作。您将参与复杂的平台、产品和应用程序的工作
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我们寻找对部署充满真正热情的开发者。这是一个专业且个人贡献者角色。有产品开发经验，尤其是在初创公司或精简团队中者优先
职责
我们寻找对服务部署充满真正热情的工程师，并具有在 AWS/Azure（优先）或 GCP 上实际部署数据制品的经验。您将负责
查看英文原文
This is a remote position.
Please go through the entire job post thoroughly before pressing Apply. There is an eleven characters frenchword_i_a_g_e_t_, a cold sauce, mentioned somewhere in the job post below. You shall be required to enter this french word in following application form. Applications with incorrect response shall not be processed.Alongwith, post pressing Apply, you shall reach assessment page where you would need to spend three minutes to answer few technical questions.Applications with skipped or failed assessmentshall not be processed.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behaviour enabling strengthened decisions.
DevOps Engineer
Team: Engineering
Location: Remote
Relevant Exp: 6 Months - 4 Years
Background: Been there-Done that
Compensation: Above industry standards
Requirements
This is an immediate requirement. We shall have an accelerated interview process for fast closure - you would required to be proactive and responsiveRemote position (work-from-anywhere)
Immediate joiners must apply
DevOps Experienced - course/competitions/internships/job (<4 years)
Competitive compensation
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| MUST HAVE |
************1. Build docker images with custom applications2. Deploy built docker images over virtual machine3. Deploy built docker images over container service4. Deploy built docker images over kubernetes service5. Deploy Kuberentes Deployments6. Implemented identity services in any of AWS/Azure (preferred) or GCP7. Implemented Python application containerization
8. Implemented CI/CD pipelines at scale
THERE IS NO NEED TO APPLY IF YOU DO NOT MEET EACH OF THE "MUST HAVES" MENTIONED ABOVE===========================================
We are offering one of the most challenging & exciting work on DevOps Engineering. You shall be working on sophisticated platforms, products and applications
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We are looking for developer with real passion for deployments. This is a specialist and individual contributorrole. Product development experience preferably at a startup or a lean team is desired
ROLE
We are looking for engineers with real passion for services deployments with actual hands-on experience deploying data artefacts on AWS/Azure (preferred) or GCP. You would be required to work with our engineering team on development of several services
Mandatory
1. Deploy dockerized containers orchestrated through EKS/AKS/GKS2. Deploy web application (react.js, vue.js, ember.js) on AWS Amplify/Azure App Service/Google Web App Engine3. Deploy microservices (fast api, django, flask, express.js, springboot) on AWS EBS/Azure App Service/Google App Engine4. Deploy APIs on AWS API Gateway/Azure API Management Gateway/Google API Gateway5. Manage users on AWS Cognito/Azure AD B2C/Google Identity Platform6. Deploy Kuberentes Daemonset
7. Deploy Kuberentes StatefulSet8. Deploy Kuberentes Replicaset9. Monitor Logging for dockerized containers
10. Deploy AWS managed databases - relational and no sql
Preferred1.Deploy deep learning pipelinesvinaigretteon GPU containers2.Worked on AWS SQS, AWS MKS, AWS EMR, AWS S3, AWS SNS3. Worked on development of data platform4. Deploy Lamda Functions
How to ApplyYou should apply online by clicking "Apply Now".For queries regarding an open position, please write
Originally posted on Himalayas