Java Software Engineer

3 days ago

Bareilly, India Cube Consultancy Services Full time

Tech Stack Backend & Infra: Java (Spring Boot), Microservices, AWS ECS, Redis, ScyllaDB, MongoDB, GraphQL, AWS, Lambda, SQS Data & AI: Databricks, Spark, Kinesis, Claude, Cursor, LangChain Observability: Prometheus, Grafana, CloudWatchRole: Senior Backend Engineer (Java / Microservices)We’re hiring an experienced backend engineer (4-10 years of experience) to help build scalable, real-time systems at the core of our global marketplace.Responsibilities: ● Build and scale microservices with low-latency design & high-throughput for real-time hotel search and distribution. ● Implement custom algorithms and data models to support pricing, availability, and inventory workflows. ● Own end-to-end modules from design to rollout and collaborate with product/architect teams ● Use AI developer tools ( Claude, Cursor ) and LLMs via prompts, RAG, and agents to accelerate development. ● Participate in rigorous code reviews & contribute to a CI/CD pipeline that supports frequent, reliable, and automated deployments.Requirements: ● 4+ years of hands-on experience in Java, Spring Boot, and Hibernate. ● Strong experience with MySQL , MongoDB , or ScyllaDB . ● Built distributed, event-driven systems using SQS , Kinesis ; solid understanding of fault tolerance , backpressure , and scalability . ● Familiarity with data consistency models, circuit breakers, internal DSLs , and low-latency API design. ● Proficient with Grafana , Prometheus , CloudWatch ; have tuned systems for high throughput and sub-50ms latencies . ● Comfortable working in a remote-first team with a culture of ownership, documentation, and async communication. ● Passion for clean code, testability, and driving engineering excellence via automation and tooling.Nice to Have: ● Hands-on with LLM pipelines or agentic workflows ● Exposure to React or full-stack systems ● Experience with Spark or Databricks ● AI/ML ExposureWhy Join Us? ● Build critical infrastructure for a global hotel marketplace ● Work with high-scale, low-latency systems ● Use AI tools in daily development ● Fully remote team with strong ownership culture 

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