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Core Responsibilities
- Design, develop, and scale backend systems using Java and Spring Boot.
- Create low-latency search infrastructure with ElasticSearch, caching, and query optimization.
- Build and maintain supplier integrations across hotels, chains, and experiences, ensuring stability and fault tolerance.
- Implement real-time personalization and ranking logic to improve customer discovery and booking conversion.
- Enable AI-powered experiences by building APIs, data pipelines, and scalable systems for recommendations, personalization, and conversational interfaces.
- Develop and maintain database schemas, queries, and stored procedures across MySQL, MongoDB, and ElasticSearch.
- Deploy and optimize services on Linux and AWS environments (EC2, S3, RDS, Lambda, API Gateway).
- Implement and evolve microservices architecture and design APIs for communication between services.
- Monitor backend systems in production, troubleshoot issues, and deliver timely fixes.
- Collaborate with product, growth, and engineering teams to translate customer needs into backend solutions.
- Participate in code reviews, debugging, and documentation to ensure quality and maintainability.
- Stay current with new backend and AI technologies, introducing ideas for innovation and scale.
Candidate Requirements
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
- 2–5 years of backend development experience with Java and Spring Boot.
- Strong knowledge of relational and NoSQL databases (MySQL, MongoDB) and ability to design efficient schemas, queries, and stored procedures.
- Familiarity with ElasticSearch and interest in building low-latency search systems.
- Hands-on experience with Linux systems and deploying/maintaining backend services in production.
- Experience with AWS services (EC2, S3, RDS, Lambda, API Gateway) and cloud-native deployments.
- Understanding of microservices architecture with proven experience designing and implementing APIs for service communication.
- Strong problem-solving and analytical skills with a focus on scalability, reliability, and performance.
- Excitement to work in an AI-first company, building systems that power personalization, recommendations, and AI-driven experiences at scale.
- Excellent communication skills and the ability to collaborate effectively across product, growth, and engineering teams.
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Key Skills
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