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Busigence Technologies

DevOps Engineer

Reposted 21 Days Ago
Remote
Hiring Remotely in USA
Mid level
Remote
Hiring Remotely in USA
Mid level
Hands-on DevOps role focused on containerization and cloud deployments: build and deploy Docker images across VMs, container services, and Kubernetes; implement CI/CD pipelines; manage identity services and APIs; deploy web apps and microservices on AWS/Azure/GCP; monitor container logging and manage managed databases. Work as an individual contributor on production platforms.
The summary above was generated by AI

This is a remote position.


Please go through the entire job post thoroughly before pressing Apply. There is an eleven characters french word _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 assessment shall not be processed.


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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 responsive

Remote position (work-from-anywhere)

Immediate joiners must apply

DevOps Experienced - course/competitions/internships/job (<4 years)

Competitive compensation



************
| MUST HAVE |
************
1. Build docker images with custom applications
2. Deploy built docker images over virtual machine
3. Deploy built docker images over container service
4. Deploy built docker images over kubernetes service
5. Deploy Kuberentes Deployments
6. Implemented identity services in any of AWS/Azure (preferred) or GCP

7. 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

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



We are looking for developer with real passion for deployments. This is a specialist and individual contributor role. 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/GKS
2. Deploy web application (react.js, vue.js, ember.js) on AWS Amplify/Azure App Service/Google Web App Engine
3. Deploy microservices (fast api, django, flask, express.js, springboot) on AWS EBS/Azure App Service/Google App Engine
4. Deploy APIs on AWS API Gateway/Azure API Management Gateway/Google API Gateway
5. Manage users on AWS Cognito/Azure AD B2C/Google Identity Platform
6. Deploy Kuberentes Daemonset
7. Deploy Kuberentes StatefulSet
8. Deploy Kuberentes Replicaset
9. Monitor Logging for dockerized containers
10. Deploy AWS managed databases - relational and no sql

Preferred

1. Deploy deep learning pipelines vinaigrette on GPU containers
2. Worked on AWS SQS, AWS MKS, AWS EMR, AWS S3, AWS SNS
3. Worked on development of data platform
4. Deploy Lamda Functions

How to Apply

You should apply online by clicking "Apply Now". 

For queries regarding an open position, please write to [email protected]

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