Requirements

Expected technologies

Google Cloud Platform (Vertex AI, Pub/Sub, Cloud Storage

Optional technologies

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

Our requirements

• 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.
• Solid knowledge of API-first RESTful design.
• Experience implementing automated testing (unit, integration, E2E).
• Excellent English communication skills, both written and verbal.
• Proven technical leadership experience, including mentoring and supporting team members across different setups (internal and consulting).

Optional

• Experience integrating LLMs and generative AI into production systems.
• Familiarity with prompt engineering and AI safety configurations.
• Hands-on experience with Terraform and infrastructure as code.
• Knowledge of Keycloak or other identity management solutions.
• Familiarity with Gradle Kotlin DSL.
• Open-source contributions or technical writing experience.

Your 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.