DevOps Engineer
Busigence Technologies
DevOps work early in your career means building real infrastructure that other engineers depend on. At Busigence Technologies, you'll join a team making decision intelligence products, and you'll own pieces of the systems that power them. It's remote, which means you're working with a distributed team from day one.
You'll handle deployment pipelines, cloud infrastructure, monitoring, and the tools that keep their products running. This isn't theoretical work—you'll solve actual problems and see the impact immediately. The company moves fast and wants someone proactive who can respond quickly to what the team needs.
This role fits people with 6 months to 4 years of experience who've already done some engineering work and understand how systems fit together. You should be comfortable with Linux, containers, CI/CD, or cloud platforms. A portfolio or GitHub showing your work helps.
Ready to apply. Head to CareerJumpship.com, find this posting, and submit your application. Busigence has an accelerated interview process, so be prepared to move quickly if they reach out.
About this role
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 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 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/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 pipelinesvinaigretteon 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 tocareers@busigence.com Originally posted on Himalayas
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