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Fresher - DevOps Engineer

开发工程限定地区(需当地身份)
公司Busigence Technologies
薪资未公开
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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This is a remote position. Please go through the entire job post thoroughly before pressing Apply. Post pressing Apply, you shall reach the assessment page that must be attempted. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behaviour enabling strengthened decisions. Fresher - DevOps Engineer Team: Engineering Location: Remote Relevant Exp: 0 - 2 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 (<2 years) Competitive compensation ************ | MUST HAVE | ************1. Implemented major managed services in AWS or Azure or GCP 2. Implemented Python application containerization 3. Implemented Javscript application containerization4. Implemented CI/CD pipelines at scale 5. Implemented container orchestration =========================================== We are offering one of the most challenging & exciting work on DevOps Deployments. 你将在复杂的平台,产品和应用程序上工作。我们正在寻找一个真正热情开发者。部署。这是一个专家和个人的贡献者角色。产品开发经验最好在初创公司或精简团队中是理想的角色 我们正在寻找真正热情服务部署的工程师,实践经验在 AWS,Azure 或 GCP 上部署数据文物。你将被要求与我们的工程团队合作开发多项服务。通过 AWS EKS 或 Azure AKS 或 Google GKE2进行调整的码头容器部署。在任何云平台管理服务中部署 Web 应用程序3.在任何云平台的管理服务上部署微服务4.在码头容器上部署节点应用和/或 django 应用程序5.部署 AWS 管理数据库 - 关系式而没有 SQL 优先1.部署深度学习管道 vinaigretteonGPU 容器2.在 AWS SQS,AWS MKS,AWS EMR,AWS S3,AWS SNS-Azure 或 GCP 等级工作3.开发数据平台如何应用

查看英文原文

This is a remote position.
Please go through the entire job post thoroughly before pressing Apply. Post pressing Apply, you shall reach the assessment page that must be attempted.
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behaviour enabling strengthened decisions.
Fresher - DevOps Engineer
Team: Engineering
Location: Remote
Relevant Exp: 0 - 2 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 (<2 years)

Competitive compensation

************
| MUST HAVE |
************1. Implemented major managed services in AWS or Azure or GCP

2. Implemented Python application containerization

3. Implemented Javscript application containerization4. Implemented CI/CD pipelines at scale

5. Implemented container orchestration

===========================================

We are offering one of the most challenging & exciting work on DevOps Deployments. You shall be working on sophisticated platforms, products and applications

===========================================

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 or Azure or GCP. You would be required to work with our engineering team on development of several services

Mandatory

1. Deploy docker containers orchestrated through AWS EKS or Azure AKS or Google GKE2. Deploy web application on any cloud platform managed service3. Deploy microservices on anycloud platform managed service4. Deploy node apps and/or django apps on docker containers5. 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 SNS - Azure or GCP equivalent3. Worked on development of data platform

How to ApplyYou should apply online by clicking "Apply Now".For queries regarding an open position, please write For more information, visit

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Benefits

Scaling established startup innovating & disrupting various domains through artificial intelligence. We bring those people onboard who are dedicated to deliver wisdom to humanity by solving the world’s most pressing problems differently thereby significantly impacting thousands of souls, everyday.

We are a deep rooted organization with success story having worked with folks from top tier background (IIT, NSIT, DCE, BITS, IIITs, NITs, IIMs, ISI etc.) maintaining an awesome culture with a common vision to build great data products. In past we have served fifty five customers and presently developing Enterprise AI products. More details at We work extensively & intensely on big data, data science, machine learning, deep learning, reinforcement learning, data analytics, natural language processing, cognitive computing, and business intelligence. ​

We look for intent & talent, not skills1. You must be [super sharp]2. You must be [extremely energetic]3. You must be [honourably honest]In addition to the regular stuff which every good startup offers – Lots of learning, Food, Parties, Open culture, Flexible working hours, and what not….

We offer you:[Greatest work of life]

You shall be working on our revolutionary products which are pioneer in their respective categories. This is a fact.

We try real hard to hire fun loving crazy folks who are driven by more than a paycheque. You shall be working with creamiest talent on extremely challenging problems at most happening workplace

Originally posted on Himalayas

本页面信息整理自 Himalayas,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

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