Busigence Technologies Jobs

DevOps Engineer

Busigence Technologies

DevOps Engineer

Posted 21 Days Ago

Hiring Remotely in USA

Remote

Mid level

Artificial Intelligence • Big Data • Analytics • Business Intelligence

The Role

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.

Summary Generated by Built In

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

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| MUST HAVE |

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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

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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 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]

Skills Required

Build docker images with custom applications
Deploy built docker images over virtual machines
Deploy built docker images over container services
Deploy built docker images over Kubernetes service
Deploy Kubernetes Deployments
Implemented identity services in AWS/Azure/GCP (AWS/Azure preferred)
Implemented Python application containerization
Implemented CI/CD pipelines at scale
Deploy dockerized containers orchestrated through EKS/AKS/GKS
Deploy web applications (React.js, Vue.js, Ember.js) on AWS Amplify/Azure App Service/Google App Engine
Deploy microservices (FastAPI, Django, Flask, Express.js, Spring Boot) on AWS Elastic Beanstalk/Azure App Service/Google App Engine
Deploy APIs on AWS API Gateway/Azure API Management/Google API Gateway
Manage users on AWS Cognito/Azure AD B2C/Google Identity Platform
Deploy Kubernetes DaemonSet
Deploy Kubernetes StatefulSet
Deploy Kubernetes ReplicaSet
Monitor logging for dockerized containers
Deploy managed cloud databases (relational and NoSQL)
Relevant experience 6 months to 4 years
Immediate joiner availability
Deploy deep learning pipelines on GPU containers
Experience with AWS SQS, AWS MSK, AWS EMR, AWS S3, AWS SNS
Experience developing data platforms
Deploy Lambda functions
Product development experience at a startup or lean team

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The Company

Year Founded: 2012

What We Do

Busigence is a Decision Intelligence company that creates decision intelligence products for real people by combining data, technology, business, and behavior to enable strengthened decisions. Founded by IIT alumni, the company focuses on highly disruptive big data technologies, utilizing artificial intelligence and machine learning to deliver actionable business and relationship intelligence solutions.