Google cloud specialist

KV Tech Solutions Pvt Ltd embodies the spirit of innovation and adaptability in today's rapidly evolving digital landscape. Our mission is to transform businesses with Google Cloud excellence. We are a team of experts dedicated to providing cutting-edge solutions in areas like VM migrations, Generative AI, data transformation, and predictive analytics. To learn more about our work, visit our website at Role: Google Cloud SpecialistWe are seeking a highly motivated and experienced Google Cloud Specialist to join our team in a full-time, remote capacity. This role is ideal for a candidate who is ready to leverage their hands-on experience and Google Professional Certification to design, implement, and deploy cutting-edge cloud and data solutions for our clients.Salary Range: 3.5 LPA to 4 LPAYour ResponsibilitiesAs a Google Cloud Specialist, you will be a key contributor to our client projects, applying your expertise across the Google Cloud ecosystem.You will:Design and deploy robust full-stack applications using serverless technologies like Google Cloud Run or App Engine.Develop and implement scalable data pipelines for batch and streaming data, including deploying jobs to Dataproc to process and load data into Big Query.Deploy, manage, and monitor Machine Learning (ML) models for online and batch predictions using Vertex AI Endpoints and Model Registry.Work on projects involving advanced areas like VM migrations, Generative AI, data transformation, and predictive analytics.Contribute to meaningful solutions for clients in industries such as Healthcare, Government, Retail, and Telecom.Design and deploy secure, well-architected cloud environments and application development/secure landing zones.Stay current with new Google Cloud features and services to recommend and implement optimal client solutions.Required Skills & QualificationsPlease note: Only candidates meeting the following mandatory requirements will be considered for this role.Experience: 1 to 3 years of hands-on, verifiable experience working with Google Cloud technologies.Certification: Must possess a current, valid Google Professional Certification (e.g., Professional Cloud Architect, Professional Data Engineer, Professional Cloud Developer, etc.).Demonstrable experience in deploying applications to serverless platforms like Cloud Run or App Engine.Practical experience in building and executing data processing jobs/pipelines using technologies like Dataproc, and data warehousing on Big Query.Proficiency in the Vertex AI platform for model deployment, including creating a Model Registry entry and deploying to a managed Endpoint for online serving.Deep understanding of IT concepts, cloud computing principles, and the Google Cloud Platform (GCP) service portfolio.Excellent problem-solving skills, a proactive attitude, and the ability to work independently in a remote setting.Interview & Application RequirementsTo ensure candidates have practical, up-to-date skills, the interview process will include a hands-on demonstration:Pre-Interview Task: Interested candidates must be able to utilize their free Google Cloud trial account.Interview Demonstration: Be prepared to demo foundational knowledge and practical application of the following concepts:Google Cloud Foundation Fabric (Demonstrate your ability to establish core GCP networking, security, and resource hierarchy principles).Google Agentspace (Showcase your understanding or a basic demo of using Google's generative AI tools or services for a practical business application).Added AdvantageFamiliarity with Infrastructure as Code (e.g., Terraform).Experience with Python (especially the Vertex AI SDK), Go, or other relevant programming languages for application, data pipeline, and ML development.Exposure to containerization and orchestration (e.g., Docker, Kubernetes, Artifact Registry).To ApplyPlease submit your resume and a cover letter detailing your 1-3 years of Google Cloud experience, the Google Professional Certification you hold (including the date of achievement), and your readiness to complete the required interview demo.