Google Cloud Platform Jobs

I need a skilled backend developer to build and deploy a secure user-authentication and management service written in Node.js and hosted on Google Cloud Platform. The project is green-field, so you’ll be setting up everything from the ground up: server environment, database connection, and the authentication flow itself. What I expect • A clean, well-structured Node.js codebase that exposes REST (or GraphQL, if you prefer) endpoints for sign-up, login, password reset, refresh tokens and role-based access. • Deployment to GCP using the service you judge best (Cloud Run, App Engine, GKE, etc.) with environment variables managed safely and logs viewable in Cloud Logging. • A small, automated CI/CD pipeline so updates go live with minimal downtime. • Clear, d...

I have a detailed feature list for a browser-based data-analysis tool and I need someone who can take it from idea to a live site on Google infrastructure. The app must pull live data from accept user-uploaded CSV or Excel files, the numbers, fields dara uaing AI and LLM. LLM will understand the data display interactive charts and downloadable reports. You’ll own the whole pipeline—clean, well-documented code, thorough testing, and a smooth CI/CD flow that ends with the tool deployed under a custom domain (App Engine, Cloud Run, or whatever Google host you recommend). I’m open on the exact stack as long as performance, scalability, and future extensibility are front and center. Acceptance criteria: • Fully responsive web interface with intuitive dashboards an...

Fix saanskrityam's google issues ,as per our phone conversation

Pinpoint the source of my high app firebase app reads for my dating app with only 1600+ users. (Read only access)

Need tutor to teach me: 1. Application Deployment: Hands-on experience developing and deploying applications using Cloud Run, Cloud Functions, and Google Kubernetes Engine (GKE). 2. Data & Messaging: Practical implementation of GCP backend services, specifically Pub/Sub, Firestore, Cloud Storage (GCS), and Cloud SQL. 3. Platform Mastery: Deep dive into GECX components, moving beyond general NLU into the specifics of Dialogflow CX, Agent Builder, and Agent Assist. 4. Analytics & Voice: Utilizing CCAI Insights, Vertex AI Conversation, and Google's specific GTP/voice integration protocols. 5. Vertex AI & Gemini: Leveraging Vertex AI and Gemini APIs for generative applications and advanced prompt engineering within the Google ecosystem. 6. Advanced APIs: Building microservic...

I need a lightweight custom ORM bridge that pulls every review from all of my Google Business Profiles directly into Looker Studio. Using the Google My Business API, the solution must stream or refresh the following fields for each review: full text, star rating, timestamp and reviewer details. Beyond pure ingestion, I also want two action flags surfaced in the final dataset—whether a review has been replied to and whether it has been flagged—so I can build dashboards that instantly show which comments still need attention. A native-style Looker Studio connector or a small middleware service (Python, Apps Script, or similar) that authenticates once and then schedules automatic updates would be perfect. Keep the setup simple enough for non-technical teammates to re-authent...

I need our Firebase project to start sending email notifications through the official “Trigger Emails” extension. All message bodies are already stored as plain-text documents in a Firestore collection, and I only want an email dispatched when an Order confirmation event occurs. Here’s what has to happen: • Install and configure the Trigger Emails extension in our existing Firebase project. • Map the correct Firestore collection path so the extension pulls the plain-text template for each order. • Wire the extension to fire exclusively on the order-confirmation event (a new document insert in /orders, or similar—happy to clarify). • Prove it works by triggering a test order: I expect the message to reach my inbox with the exact text stored...

We are looking for a highly skilled Senior Data Engineer with 8+ years of experience in designing, developing, and modernizing enterprise-scale data platforms. The ideal candidate should have strong expertise in Google Cloud Platform (GCP) and hands-on experience building scalable data pipelines, data migration, and modernization initiatives. Key Responsibilities Design, develop, and optimize end-to-end data pipelines on Google Cloud Platform (GCP). Build and maintain scalable ETL/ELT solutions using GCP services such as BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, and Composer. Lead data modernization and migration projects from legacy/on-premise systems to GCP. Implement data integration, transformation, and orchestration processes for large-scale datasets. Ensure data quality,...

I need a knowledgeable Google Ads specialist to turn my existing account into a fully functional Multi-Client Portal (MCP) and link it correctly with my Claude account. The account already exists, so this project is about structure and integration rather than initial sign-up. What I expect you to do • Create or upgrade the account to an MCP and confirm that administrative and billing settings carry over without disruption. • Link the Claude account so I can access campaign data from within Claude and push any future campaigns back to Google Ads seamlessly. • Provide a brief walkthrough (screen-share or concise doc) so I understand how to add new sub-accounts, set permissions and monitor spend. Acceptance The Google Ads dashboard must show the MCP hierarchy functioning,...