{"schemaVersion":"jobsearcher.job.v1","id":"cfaa4373fa7e2f87c4cd5dc8","url":"https://jobsearcher.com/jobs/cfaa4373fa7e2f87c4cd5dc8","canonicalUrl":"https://jobsearcher.com/jobs/cfaa4373fa7e2f87c4cd5dc8","title":"Mid-Level Cloud Engineer – GCP / DevOps","description":"HomeAboutAdaptive AIIndustriesConsulting Jobs PortalContact UsHomeAboutAdaptive AIIndustriesConsulting Jobs PortalContact UsJob DescriptionJob OverviewJob ID:J53422Job Title:Mid-Level Cloud Engineer – GCP / DevOpsLocation:NYC, NYDuration:12 Months + ExtensionDomain Exposure:Utilities/ EnergyWork Authorization:US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EADClient:To Be Discussed LaterEmployment Type:W-2, 1099, C2CView All JobsSimilar JobsSite Reliability Engineer - Pittsburgh, PAQuality Engineer - Melville, NYSenior Data Engineer - Atlanta, GASenior Salesforce Engineer - Raleigh, NCDesign Engineer - Pelzer Point, SCJob SummaryWe are seeking a Mid-Level Cloud Engineer with strong experience in Google Cloud Platform (GCP), Terraform, CI/CD pipelines, and DevOps automation. The ideal candidate will be responsible for managing cloud infrastructure, developing infrastructure-as-code solutions, maintaining deployment pipelines, and supporting monitoring and observability tools across development, testing, and production environments.Key ResponsibilitiesBuild, maintain, and optimize CI/CD pipelines to support software development and deployment workflows.Develop and maintain Terraform code for GCP infrastructure provisioning.Manage GCP resources, including Compute Engine, Cloud Storage, VPC networking, IAM, and Secret Manager.Support and maintain Salesforce and Gearset deployment pipelines.Troubleshoot and maintain GitHub integrations with SonarQube for static code analysis and security scanning.Manage build artifacts using Google Cloud Artifact Registry.Support DataDog monitoring, log forwarding, alerting, and observability.Support Google Kubernetes Engine (GKE) operations, including workload deployments and namespace management.Manage cloud infrastructure across development, testing, and production environments.Migrate manually provisioned GCP resources into Terraform-managed infrastructure.Follow infrastructure-as-code standards and established DevOps best practices.Participate in Agile ceremonies, sprint planning, and iterative delivery.Maintain technical documentation and troubleshoot infrastructure and deployment issues.Apply NowEqual Opportunity EmployerWe are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.Home|About|Adaptive AI|Industries|Consulting |Contact Us© 2008-2018, Machine Learning Technologies LLC. All Rights Reserved.","company":"Machine Learning Technologies","rawCompany":"machine learning technologies","city":"New York","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-10-31T07:52:38.693Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.00","title":"Computer Occupations, All Other","slug":"computer-occupations-all-other"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Mid-Level Cloud Engineer – GCP / DevOps","description":"HomeAboutAdaptive AIIndustriesConsulting Jobs PortalContact UsHomeAboutAdaptive AIIndustriesConsulting Jobs PortalContact UsJob DescriptionJob OverviewJob ID:J53422Job Title:Mid-Level Cloud Engineer – GCP / DevOpsLocation:NYC, NYDuration:12 Months + ExtensionDomain Exposure:Utilities/ EnergyWork Authorization:US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EADClient:To Be Discussed LaterEmployment Type:W-2, 1099, C2CView All JobsSimilar JobsSite Reliability Engineer - Pittsburgh, PAQuality Engineer - Melville, NYSenior Data Engineer - Atlanta, GASenior Salesforce Engineer - Raleigh, NCDesign Engineer - Pelzer Point, SCJob SummaryWe are seeking a Mid-Level Cloud Engineer with strong experience in Google Cloud Platform (GCP), Terraform, CI/CD pipelines, and DevOps automation. The ideal candidate will be responsible for managing cloud infrastructure, developing infrastructure-as-code solutions, maintaining deployment pipelines, and supporting monitoring and observability tools across development, testing, and production environments.Key ResponsibilitiesBuild, maintain, and optimize CI/CD pipelines to support software development and deployment workflows.Develop and maintain Terraform code for GCP infrastructure provisioning.Manage GCP resources, including Compute Engine, Cloud Storage, VPC networking, IAM, and Secret Manager.Support and maintain Salesforce and Gearset deployment pipelines.Troubleshoot and maintain GitHub integrations with SonarQube for static code analysis and security scanning.Manage build artifacts using Google Cloud Artifact Registry.Support DataDog monitoring, log forwarding, alerting, and observability.Support Google Kubernetes Engine (GKE) operations, including workload deployments and namespace management.Manage cloud infrastructure across development, testing, and production environments.Migrate manually provisioned GCP resources into Terraform-managed infrastructure.Follow infrastructure-as-code standards and established DevOps best practices.Participate in Agile ceremonies, sprint planning, and iterative delivery.Maintain technical documentation and troubleshoot infrastructure and deployment issues.Apply NowEqual Opportunity EmployerWe are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.Home|About|Adaptive AI|Industries|Consulting |Contact Us© 2008-2018, Machine Learning Technologies LLC. All Rights Reserved.","datePosted":"2026-10-31T07:52:38.693Z","dateModified":"2026-10-31T07:52:38.693Z","hiringOrganization":{"@type":"Organization","name":"Machine Learning Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"cfaa4373fa7e2f87c4cd5dc8"},"url":"https://jobsearcher.com/jobs/cfaa4373fa7e2f87c4cd5dc8"}}