{"schemaVersion":"jobsearcher.job.v1","id":"82f050ed8a11aa9be803f655","url":"https://jobsearcher.com/jobs/82f050ed8a11aa9be803f655","canonicalUrl":"https://jobsearcher.com/jobs/82f050ed8a11aa9be803f655","title":"Cloud DevOps Developer","description":"Cloud DevOps Developer with Bachelor’s Degree in Computer Science, Computer Information Systems, Information Technology, or a combination of education and experience equating to the U.S. equivalent of a Bachelor’s degree in one of the aforementioned subjects.\nJob Duties and Responsibilities:\nImplement and manage version control, continuous integration, and continuous deployment (CI/CD) systems for Machine Learning models and related software components.\nMonitor the performance and health of deployed Machine Learning models, making necessary adjustments and improvements to ensure optimal performance and reliability.\nDevelop and maintain tools and processes to automate and streamline Machine Learning model deployment, monitoring, and management.\nTroubleshoot and resolve issues related to Machine Learning model deployment and infrastructure.\nDocument and communicate MLOps processes, guidelines and procedures to ensure consistency and knowledge sharing across the organization.\nWriting production level test driven code in Python and/or Java and Scala.\nDeploying and optimizing different pipelines that support various Data Science processes.\nEstablish and set up model Life Cycle Management with tools like MLflow, etc.\nDeveloping and deploying Spark / Databricks jobs with enterprise tool stack including Jenkins, GitHub actions.\nDeployment utilizing containerization solutions like Docker and Kubernetes.\nWork as an Agile team member in a scrum team and collaborate with other Engineers and Scientists.\nWork with Product Managers and Senior Scientists to deliver on the modeling needs.\nTechnologies Involved / Skills required for the position:\nCloud Platform: Google Cloud Platform (GCP) services, including AI Platform, Vertex AI, Dataflow,\nBigQuery, Cloud Storage, and Kubernetes Engine.\nMachine Learning Frameworks: TensorFlow, PyTorch, Scikit-learn.\nData Processing and Pipeline: Apache Beam - Dataflow, and Apache Airflow, DataProc.\nCI/CD and Version Control: Jenkins and Git.\nContainerization and Orchestration: Docker for containerization and Kubernetes with Helm.\nExperiment Tracking and Model Versioning: MLflow, DVC, or TFX for tracking experiments, managing\nmodel versions, and ensuring reproducibility.\nMonitoring and Logging: Vertex AI Monitoring.\nProgramming Languages: Python, Scala.\nWork location is Portland, ME with required travel to client locations throughout USA.\nRite Pros is an equal opportunity employer (EOE).\nPlease Mail Resumes to:\nRite Pros, Inc.\n565 Congress St, Suite # 305\nPortland, ME - 04101.\nE-Mail: resumes@ritepros.com","company":"Ritepros","rawCompany":"ritepros","city":"Gladstone","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-06-19T09:42:47.482Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Cloud DevOps Developer","description":"Cloud DevOps Developer with Bachelor’s Degree in Computer Science, Computer Information Systems, Information Technology, or a combination of education and experience equating to the U.S. equivalent of a Bachelor’s degree in one of the aforementioned subjects.\nJob Duties and Responsibilities:\nImplement and manage version control, continuous integration, and continuous deployment (CI/CD) systems for Machine Learning models and related software components.\nMonitor the performance and health of deployed Machine Learning models, making necessary adjustments and improvements to ensure optimal performance and reliability.\nDevelop and maintain tools and processes to automate and streamline Machine Learning model deployment, monitoring, and management.\nTroubleshoot and resolve issues related to Machine Learning model deployment and infrastructure.\nDocument and communicate MLOps processes, guidelines and procedures to ensure consistency and knowledge sharing across the organization.\nWriting production level test driven code in Python and/or Java and Scala.\nDeploying and optimizing different pipelines that support various Data Science processes.\nEstablish and set up model Life Cycle Management with tools like MLflow, etc.\nDeveloping and deploying Spark / Databricks jobs with enterprise tool stack including Jenkins, GitHub actions.\nDeployment utilizing containerization solutions like Docker and Kubernetes.\nWork as an Agile team member in a scrum team and collaborate with other Engineers and Scientists.\nWork with Product Managers and Senior Scientists to deliver on the modeling needs.\nTechnologies Involved / Skills required for the position:\nCloud Platform: Google Cloud Platform (GCP) services, including AI Platform, Vertex AI, Dataflow,\nBigQuery, Cloud Storage, and Kubernetes Engine.\nMachine Learning Frameworks: TensorFlow, PyTorch, Scikit-learn.\nData Processing and Pipeline: Apache Beam - Dataflow, and Apache Airflow, DataProc.\nCI/CD and Version Control: Jenkins and Git.\nContainerization and Orchestration: Docker for containerization and Kubernetes with Helm.\nExperiment Tracking and Model Versioning: MLflow, DVC, or TFX for tracking experiments, managing\nmodel versions, and ensuring reproducibility.\nMonitoring and Logging: Vertex AI Monitoring.\nProgramming Languages: Python, Scala.\nWork location is Portland, ME with required travel to client locations throughout USA.\nRite Pros is an equal opportunity employer (EOE).\nPlease Mail Resumes to:\nRite Pros, Inc.\n565 Congress St, Suite # 305\nPortland, ME - 04101.\nE-Mail: resumes@ritepros.com","datePosted":"2026-06-19T09:42:47.482Z","dateModified":"2026-06-19T09:42:47.482Z","hiringOrganization":{"@type":"Organization","name":"Ritepros","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Gladstone","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"82f050ed8a11aa9be803f655"},"url":"https://jobsearcher.com/jobs/82f050ed8a11aa9be803f655"}}