Software Engineer

High-Performance Java Development

• Microservices: Design and develop scalable, resilient, and high-throughput microservices using Java (17+) and Spring Boot.

• Concurrency: Implement advanced multi-threading and asynchronous processing to handle massive data volumes.

• Code Excellence: Maintain high standards of code quality through rigorous unit testing, peer reviews, and performance profiling.

2. Event-Driven Architecture (Kafka)

• Streaming Pipelines: Build and manage complex event-driven architectures using Apache Kafka.

• Integration: Develop Kafka producers, consumers, and use Kafka Streams for real-time data processing and transformation.

• Reliability: Ensure exactly-once processing semantics and high availability of message brokers.

3. Generative AI Integration

• AI Solutions: Architect and implement GenAI features, including RAG (Retrieval-Augmented Generation) patterns and LLM orchestration.

• Model Deployment: Integrate with Vertex AI or OpenAI APIs to build intelligent agents, automated content generation, or advanced recommendation engines.

• Prompt Engineering: Collaborate with data scientists to optimize prompts and manage LLM token usage/costs.

4. GCP Cloud Native Engineering

• Infrastructure: Deploy and manage applications on Google Cloud Platform (GCP) using GKE (Google Kubernetes Engine).

• Cloud Services: Utilize GCP-native tools such as Pub/Sub, Cloud Functions, BigQuery, and Cloud Spanner for a robust data backbone.

• DevOps: Implement CI/CD pipelines using Google Cloud Build and ensure infrastructure-as-code (Terraform/Pulumi).