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We are developing a data retrieval and operations platform for a next-generation customer support system for a global e-commerce leader. The platform will provide a federated GraphQL interface that unifies access to multiple backend services, enabling low-latency, real-time data retrieval and transactional operations to support AI-driven workflows. The role will focus on designing, building and optimizing the platform to ensure scalability, reliability and test automation. This is a multi-team, collaborative initiative that requires close coordination with other delivery teams, adherence to high engineering standards and a strong focus on integration and architectural alignment.
Job Responsibility:
Develop and maintain the server-side logic of our applications using Java
Implement efficient and performant backend code for high-volume production applications
Monitor application health, identify related risks, and ensure reliability in production environment
Contribute to all phases of the development lifecycle, from concept to deployment
Review and refactor code, establishing best practices for code hygiene and organization
Requirements:
5+ years of backend development experience in Java and Spring Framework
Proficient in RESTful API design, experience with GraphQL APIs
Experience with message brokers (e.g., Kafka, RabbitMQ, ActiveMQ) and caching (e.g., Redis, Memcached)
Proficient with authentication and authorization mechanisms, especially OAuth 2.0
Experience with containerization and orchestration tools like Docker and Kubernetes
Knowledgeable in performance troubleshooting, profiling, and debugging tools
Capable of solving complex challenges related to latency, data consistency, and performance in distributed systems
Understanding patterns of distributed systems design
resilience patterns such as circuit breakers, retries, and timeout
Proficient with code versioning tools, such as Git
Skilled in CI/CD tools and practices
English: B2+ (Written and Oral)
Experience working in a lean agile process
Proactive approach in understand the customer’s business and refining business requirements into technical requirements
Nice to have:
Experience with API contract testing
NoSQL (e.g., MongoDB, Cassandra)
Prompt engineering and experience with integration of GenAI LLMs into productions (ideally) or pet projects at least (OpenAI, Azure OpenAI, Bard, Llama)
Familiarity with federated Graph architectures
Experience mentoring less experienced colleagues is a strong advantage
Team leader experience is a strong advantage
Hands-on experience with Google Cloud Platform
ReactJS experience
What we offer:
Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation
Be part of a global team with equal opportunities for collaboration across continents and cultures
Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards