{"schemaVersion":"jobsearcher.job.v1","id":"bab4f8d1aa4e7d9f6089ecfd","url":"https://jobsearcher.com/jobs/bab4f8d1aa4e7d9f6089ecfd","canonicalUrl":"https://jobsearcher.com/jobs/bab4f8d1aa4e7d9f6089ecfd","title":"GCP Support Associate","description":"Job Title: Google Cloud Platform Incubator Engineer\nFunction: Google Cloud Platform Incubator\nPrimary Skillset: Google Cloud Platform, Python, Terraform\nSecondary Skillset: SDLC, Google Cloud Platform Services, Vertex AI, DevOps\nJob Summary\nWe are looking for a Google Cloud Platform Incubator professional with strong experience in Google Cloud Platform, Python, and Terraform to support cloud-native solution development, platform engineering, and innovation initiatives. This role will focus on building reusable cloud capabilities, accelerating prototype-to-production delivery, and enabling scalable Google Cloud Platform services adoption. The individual should have strong understanding of SDLC, DevOps practices, and modern Google Cloud Platform services, with working knowledge of Vertex AI to support emerging AI/ML use cases.\nKey Responsibilities\nDesign, build, and enhance cloud-native solutions and reusable accelerators on Google Cloud Platform.\nDevelop automation scripts, utilities, and service integrations using Python to support engineering and platform needs.\nProvision and manage Google Cloud Platform infrastructure using Terraform with a strong focus on standardization and reusability.\nSupport incubator initiatives by rapidly prototyping solutions and transitioning successful use cases into scalable implementations.\nCollaborate with architects, developers, and business teams to translate requirements into deployable Google Cloud Platform solutions.\nApply SDLC best practices across design, development, testing, deployment, and handover activities.\nLeverage core Google Cloud Platform services such as compute, storage, networking, monitoring, and security services to build robust solutions.\nSupport Vertex AI-based use cases by enabling environment setup, model workflow integration, and deployment support.\nImplement DevOps practices including CI/CD pipeline integration, automated deployments, and environment configuration management.\nEnsure solutions are secure, maintainable, and aligned with cloud engineering standards and governance requirements.\nTroubleshoot platform, deployment, and integration issues and provide timely resolution during development and release phases.\nPrepare technical documentation, deployment guides, reusable templates, and knowledge transfer materials for broader team adoption.\nMust-Have Skills\nStrong hands-on experience in Google Cloud Platform (Google Cloud Platform), including design, build, and deployment of cloud-native solutions\nProficiency in Python for automation, scripting, API integration, and platform engineering use cases\nStrong experience with Terraform for infrastructure as code, reusable module creation, and environment provisioning\nGood understanding of software development life cycle (SDLC), including design, development, testing, deployment, and support\nExperience working with core Google Cloud Platform services such as Compute Engine, Cloud Storage, VPC, IAM, Cloud Run, GKE, BigQuery, and monitoring tools\nWorking knowledge of Vertex AI to support AI/ML environment setup, model integration, and deployment workflows\nExperience with DevOps practices, including CI/CD pipelines, automated deployments, and configuration management\nAbility to build reusable cloud templates, accelerators, and automation assets for scalable adoption\nStrong troubleshooting skills for cloud infrastructure, application deployment, and service integration issues\nUnderstanding of security, access control, and governance principles within Google Cloud Platform environments\nExperience collaborating with cross-functional teams including architecture, engineering, QA, and business stakeholders\nStrong technical documentation and communication skills for solution handover and vendor coordination\nRegards, OpenKyber Inc\nFor applications and inquiries, contact: hirings@openkyber.com","company":"Openkyber","rawCompany":"openkyber","city":"Alaska","state":"MI","isRemote":false,"isActive":false,"createdAt":"2026-08-06T13:30:50.754Z","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":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"GCP Support Associate","description":"Job Title: Google Cloud Platform Incubator Engineer\nFunction: Google Cloud Platform Incubator\nPrimary Skillset: Google Cloud Platform, Python, Terraform\nSecondary Skillset: SDLC, Google Cloud Platform Services, Vertex AI, DevOps\nJob Summary\nWe are looking for a Google Cloud Platform Incubator professional with strong experience in Google Cloud Platform, Python, and Terraform to support cloud-native solution development, platform engineering, and innovation initiatives. This role will focus on building reusable cloud capabilities, accelerating prototype-to-production delivery, and enabling scalable Google Cloud Platform services adoption. The individual should have strong understanding of SDLC, DevOps practices, and modern Google Cloud Platform services, with working knowledge of Vertex AI to support emerging AI/ML use cases.\nKey Responsibilities\nDesign, build, and enhance cloud-native solutions and reusable accelerators on Google Cloud Platform.\nDevelop automation scripts, utilities, and service integrations using Python to support engineering and platform needs.\nProvision and manage Google Cloud Platform infrastructure using Terraform with a strong focus on standardization and reusability.\nSupport incubator initiatives by rapidly prototyping solutions and transitioning successful use cases into scalable implementations.\nCollaborate with architects, developers, and business teams to translate requirements into deployable Google Cloud Platform solutions.\nApply SDLC best practices across design, development, testing, deployment, and handover activities.\nLeverage core Google Cloud Platform services such as compute, storage, networking, monitoring, and security services to build robust solutions.\nSupport Vertex AI-based use cases by enabling environment setup, model workflow integration, and deployment support.\nImplement DevOps practices including CI/CD pipeline integration, automated deployments, and environment configuration management.\nEnsure solutions are secure, maintainable, and aligned with cloud engineering standards and governance requirements.\nTroubleshoot platform, deployment, and integration issues and provide timely resolution during development and release phases.\nPrepare technical documentation, deployment guides, reusable templates, and knowledge transfer materials for broader team adoption.\nMust-Have Skills\nStrong hands-on experience in Google Cloud Platform (Google Cloud Platform), including design, build, and deployment of cloud-native solutions\nProficiency in Python for automation, scripting, API integration, and platform engineering use cases\nStrong experience with Terraform for infrastructure as code, reusable module creation, and environment provisioning\nGood understanding of software development life cycle (SDLC), including design, development, testing, deployment, and support\nExperience working with core Google Cloud Platform services such as Compute Engine, Cloud Storage, VPC, IAM, Cloud Run, GKE, BigQuery, and monitoring tools\nWorking knowledge of Vertex AI to support AI/ML environment setup, model integration, and deployment workflows\nExperience with DevOps practices, including CI/CD pipelines, automated deployments, and configuration management\nAbility to build reusable cloud templates, accelerators, and automation assets for scalable adoption\nStrong troubleshooting skills for cloud infrastructure, application deployment, and service integration issues\nUnderstanding of security, access control, and governance principles within Google Cloud Platform environments\nExperience collaborating with cross-functional teams including architecture, engineering, QA, and business stakeholders\nStrong technical documentation and communication skills for solution handover and vendor coordination\nRegards, OpenKyber Inc\nFor applications and inquiries, contact: hirings@openkyber.com","datePosted":"2026-08-06T13:30:50.754Z","dateModified":"2026-08-06T13:30:50.754Z","hiringOrganization":{"@type":"Organization","name":"Openkyber","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Alaska","addressRegion":"MI","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"bab4f8d1aa4e7d9f6089ecfd"},"url":"https://jobsearcher.com/jobs/bab4f8d1aa4e7d9f6089ecfd"}}