Google Cloud Platform (Vertex AI, Pub/Sub, Cloud Storage
technologies-optional :
Java 11+ (targeting Java 21)
Spring Boot 3.3+
Spring Cloud GCP
MongoDB
Redis
Angular 17+
TypeScript
RxJS
Angular Material
Ionic 7
BigQuery
Secret Manager
Gradle 8+
Docker
Terraform
Bitbucket Pipelines
Google Cloud Build
JUnit 5
Mockito
TestContainers
Playwright
Jasmine
Karma
Vertex AI
Gemini models
Google Cloud AI Platform
about-project :
Cloudia is The Cloud People’s proprietary platform enabling Smart Resourcing — connecting customers and consultants through a transparent, data-driven approach to cloud services.
By joining the Cloudia engineering team, you’ll be part of redefining how cloud consulting is delivered globally, through AI innovation, automation, and modern cloud technologies.
responsibilities :
Lead and mentor a hybrid team of in-house and consultant developers in Poland, ensuring strong delivery alignment and technical excellence.
Design and develop scalable microservices using Spring Boot 3.3+ and Angular 17+
Architect event-driven solutions leveraging Google Cloud Pub/Sub for distributed communication.
Build and enhance AI-powered features using Vertex AI, Gemini models, and Google Cloud AI Platform.
Implement RESTful APIs using OpenAPI/Swagger and follow API-first design principles.
Design efficient database schemas and optimize performance for MongoDB and BigQuery.
Collaborate with Product Management to translate AI-driven opportunities into deliverable features.
Foster effective collaboration across internal and consultant teams, ensuring smooth communication across European time zones.
Oversee code quality, testing, CI/CD pipelines, and deployment processes.
Drive architectural and strategic decisions for Cloudia’s evolving microservices ecosystem and cloud infrastructure.
requirements-expected :
5+ years of full-stack development experience using Java and TypeScript/JavaScript.
Strong expertise in Spring Boot and microservices architecture.
Hands-on experience with Angular, React, or Vue.
Practical experience with Google Cloud Platform services.
Familiarity with event-driven architecture (Pub/Sub, Kafka, RabbitMQ).
Experience designing and maintaining AI/ML integrations on Google Cloud (Vertex AI, BigQuery ML).
Experience with MongoDB or other NoSQL databases.
Strong understanding of Docker and CI/CD pipelines.