Full Stack Engineer

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: Full Stack EngineerWe are seeking a highly motivated and experienced Full-Stack Engineer 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, data, and React-based solutions for our clients.Your ResponsibilitiesAs a Full-Stack Engineer, you will be a key contributor to our client projects, applying your expertise across the Google Cloud ecosystem with a strong focus on frontend development.You will:Design and deploy robust full-stack applications with a focus on building high-performance, responsive user interfaces using React and Tailwind CSS.Utilize serverless technologies like Google Cloud Run or App Engine to host your full-stack applications.Develop and implement scalable data pipelines for batch and streaming data, including deploying jobs to Dataproc to process and load data into BigQuery.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 integration, 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.).Candidates must possess a strong subset of the following technical skills:Mandatory Frontend Proficiency: Demonstrable expertise in building modern, responsive single-page applications using React and styling with Tailwind CSS.GCP Deployment: Practical experience in deploying applications to serverless platforms like Cloud Run or App Engine.Data & ML: Experience in building and executing data processing jobs/pipelines using technologies like Dataproc, and data warehousing on BigQuery.Vertex AI: Experience in the Vertex AI platform for model deployment, including creating a Model Registry entry and deploying to a managed Endpoint for online serving.Cloud Fundamentals: 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 focused on full-stack deployment and Generative AI integration.Application Submission Requirement:You must include a link to a project you have personally built and deployed in your resume or provide a link to your online portfolio. This project must clearly showcase your skills in React and Tailwind CSS.Interview Demonstration: The interview will involve a technical deep dive and a demonstration based on a defined scenario. Be prepared to deliver a live demo that includes:Full-Stack Application: A working React website built with Tailwind CSS.Generative AI Integration: The React frontend must be connected to a backend running on a Google Cloud service (e.g., Cloud Run) that successfully interacts with Gemini for Enterprise (via the API).Managed Compute Platform (MCP) Integration: The application must interact with an existing Google Cloud Compute Engine (GCE) or Google Kubernetes Engine (GKE) server (e.g., retrieving status, simple management call) demonstrating foundational knowledge of connecting to Managed Compute Resources.Deployment: The entire application (frontend and backend services) must be demonstrably deployed and running on Google Cloud.This demonstration will test your ability to integrate the required frontend technologies (React/Tailwind), leverage advanced Google Cloud services (Gemini for Enterprise), and perform production-ready deployments.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 the required link to your portfolio/created application demonstrating React and Tailwind CSS proficiency.