Talentify.io
100% remote Contract Job Opportunity - DevOps Engineer - Cloud Platforms
Talentify.io, Little Ferry, New Jersey, us, 07643
Employer Industry:
Cloud Computing
Why Consider This Job Opportunity100% remote work opportunityCompetitive pay up to $15.58 an hourOpportunity for career advancement and growth within the organizationChance to work with cutting-edge technology in the field of cloud computingCollaborative and supportive work environmentChance to make a positive impact on operational excellence and solution deliveryWhat To Expect (Job Responsibilities)Develop and implement DevOps practices such as testing, versioning, continuous delivery, and monitoringBuild and leverage containers using various container runtimes in conjunction with Kubernetes in a Google Cloud environmentDesign and develop ML pipelines to enhance production and development workflowsCollaborate with cross-functional teams to serve model outputs, retrain models, and maintain data and models in the registry on the GCP platformChallenge effectively and reduce complexity in solution deliveryWhat Is Required (Qualifications)Bachelor’s/Master’s or PhD in Computer Science, Computer Engineering/Science, Information Technology, Mathematics, Statistics, or related fieldsExperience with Google Cloud Platform (GCP) and machine learningKnowledge of standard DevOps practices and tools such as Git, Tekton, and CI/CD processesExcellent written and oral communication skillsPrevious experience launching machine learning models into production in the cloud or GCPHow To Stand Out (Preferred Qualifications)Google Cloud certification (GCP)Background working in an Agile methodology to develop softwareKnowledge of software architecture design patternsPrevious experience in the automotive industry
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Cloud Computing
Why Consider This Job Opportunity100% remote work opportunityCompetitive pay up to $15.58 an hourOpportunity for career advancement and growth within the organizationChance to work with cutting-edge technology in the field of cloud computingCollaborative and supportive work environmentChance to make a positive impact on operational excellence and solution deliveryWhat To Expect (Job Responsibilities)Develop and implement DevOps practices such as testing, versioning, continuous delivery, and monitoringBuild and leverage containers using various container runtimes in conjunction with Kubernetes in a Google Cloud environmentDesign and develop ML pipelines to enhance production and development workflowsCollaborate with cross-functional teams to serve model outputs, retrain models, and maintain data and models in the registry on the GCP platformChallenge effectively and reduce complexity in solution deliveryWhat Is Required (Qualifications)Bachelor’s/Master’s or PhD in Computer Science, Computer Engineering/Science, Information Technology, Mathematics, Statistics, or related fieldsExperience with Google Cloud Platform (GCP) and machine learningKnowledge of standard DevOps practices and tools such as Git, Tekton, and CI/CD processesExcellent written and oral communication skillsPrevious experience launching machine learning models into production in the cloud or GCPHow To Stand Out (Preferred Qualifications)Google Cloud certification (GCP)Background working in an Agile methodology to develop softwareKnowledge of software architecture design patternsPrevious experience in the automotive industry
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