Job Overview
Company
CUBE CONSULTANCY SERVICES
Category
Computer Occupations
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Job Description
<p><p>Were hiring an experienced backend engineer (4- 10 years of experience) to help build scalable, real-time systems at the core of our global marketplace.<br/><br/></p><p><b>Job Description :</b> <br/><br/></p><p>- Build and scale microservices with low-latency design & high-throughput for real-time hotel search and distribution.<br/><br/></p><p>- Implement custom algorithms and data models to support pricing, availability, and inventory workflows.<br/><br/></p><p>- Own end-to-end modules from design to rollout and collaborate with product/architect teams <br/><br/></p><p>- Use AI developer tools ( Claude, Cursor ) and LLMs via prompts, RAG, and agents to accelerate development.<br/><br/></p><p>- Participate in rigorous code reviews & contribute to a CI/CD pipeline that supports frequent, reliable, and automated :</b> <br/><br/></p><p>- 4+ years of hands-on experience in Java, Spring Boot, and Hibernate.<br/><br/></p><p>- Strong experience with MySQL , MongoDB , or ScyllaDB .<br/><br/></p><p>- Built distributed, event-driven systems using SQS , Kinesis ; solid understanding of fault tolerance , backpressure , and scalability .<br/><br/></p><p>- Familiarity with data consistency models, circuit breakers, internal DSLs , and low-latency API design.<br/><br/></p><p>- Proficient with Grafana , Prometheus , CloudWatch ; have tuned systems for high throughput and sub-50ms latencies .<br/><br/></p><p>- Comfortable working in a remote-first team with a culture of ownership, documentation, and async communication.<br/><br/></p><p>- Passion for clean code, testability, and driving engineering excellence via automation and tooling.<br/><br/></p><p><b>Nice to Have :</b> <br/><br/></p><p>- Hands-on with LLM pipelines or agentic workflows <br/><br/></p><p>- Exposure to React or full-stack systems <br/><br/></p><p>- Experience with Spark or Databricks <br/><br/></p><p>- AI/ML Exposure<br/></p><br/></p> (ref:hirist.tech)
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