Description

You will architect and lead the development of AI-native ecosystems on Google Cloud Platform.

Responsibilities

• Design and engineer high-throughput microservices for B2C applications serving millions of users.
• Design and deploy Retrieval-Augmented Generation pipelines and orchestrate LLM workflows.
• Own and optimize the GCP footprint, focusing on scale, observability, and cloud-native resilience.
• Build event-driven architectures and real-time streaming pipelines for user feedback loops.
• Lead technical decisions that improve the end-user journey while maintaining high system performance.

Required Skills

• 5+ years of experience shipping large-scale consumer products with deep systems design mastery.
• Deep mastery of Java and Spring Boot.
• Experience with Microservices architecture.
• Proficiency in GCP and Cloud Computing principles.
• Experience building services using Python for AI workloads.
• Experience with PostgreSQL and Redis.
• Familiarity with RAG and LLM implementation.

Key Skills

Education

Any Graduate