Please note, this role is not able to offer visa transfer or sponsorship now or in the future

About the Role

We are seeking a highly skilled Senior Java Developer with strong expertise in Spring Boot, event‑driven architectures, and Apache Kafka, as well as hands-on experience developing and deploying services in Azure or Google Cloud Platform (GCP). This role also requires familiarity with Microsoft Copilot, Generative AI technologies, and integrating AI-assisted coding workflows to accelerate development.

You will design and deliver scalable backend services, modernize cloud-native applications, and contribute to innovation initiatives leveraging GenAI.

Key Responsibilities

1. Backend Engineering

• Design, develop, and optimize Java/Spring Boot microservices with clean architecture and high scalability.
• Implement RESTful APIs, asynchronous messaging, and event-driven patterns.
• Apply secure coding practices, API contracts, and comprehensive unit/integration test coverage.

2. Event Streaming & Distributed Systems

• Build and maintain Kafka pipelines, topics, schemas (Avro/JSON), and consumer/producer applications.
• Design real-time event streaming, pub/sub architectures, and message replay/retention strategies.
• Work with schema registries, message partitioning, and high-throughput processing.

3. Cloud Engineering (Azure or GCP)

• Deploy, manage, and monitor applications using:
  • Azure: App Services, AKS, Functions, ACR, Event Hub, Cosmos DB, Key Vault
  • GCP: Cloud Run, GKE, Pub/Sub, IAM, Cloud Functions, Cloud SQL/Firestore
• Build CI/CD pipelines using GitHub Actions, Azure DevOps, or Cloud Build.
• Implement cloud-native patterns: autoscaling, resilience, observability, secret management.

4. Copilot & Generative AI Integration

• Use GitHub Copilot and other AI-assisted tools to accelerate development and improve code quality.
• Contribute to building GenAI-enabled features, such as:
  • Intelligent code generation
  • Conversational interfaces
  • ML/LLM-based service integrations
• Collaborate with data/AI teams to integrate GenAI services via REST APIs or cloud AI platforms.

5. Systems Design & Architecture

• Work across teams to define architecture for backend services, event pipelines, and cloud deployments.
• Lead design reviews, conduct POCs, and provide technical mentorship to junior developers.
• Promote best practices for distributed systems, cloud-native development, and enterprise integration.

Required Qualifications

• 6+ years of hands‑on Java development experience.
• Strong expertise in Spring Boot, Spring Cloud, JPA/Hibernate.
• Experience building microservices and distributed systems.
• Deep knowledge of Apache Kafka, including consumers, producers, partitions, offsets, schema registry.
• Hands-on experience with Azure or GCP cloud services.
• Strong understanding of CI/CD, Git, DevOps concepts.
• Experience using GitHub Copilot, Azure AI Studio, or similar AI-assisted development tools.
• Solid knowledge of REST APIs, JSON, secure coding, OAuth2/JWT.
• Strong problem‑solving, debugging, and performance tuning skills.

Preferred Qualifications

• Experience with Kubernetes (AKS or GKE) and containerization using Docker.
• Familiarity with serverless (Azure Functions, Cloud Functions).
• Experience integrating LLM/GenAI APIs (OpenAI, Azure OpenAI, Vertex AI).
• Knowledge of event-driven design patterns and CQRS.
• Exposure to NoSQL databases (Cosmos DB, Firestore, MongoDB).
• Experience in Agile/Scrum development environments.
• Understanding of AI governance, prompt engineering, and RAG architecture.