Java Software Engineer

4 weeks ago


india, IN 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, CloudWatch


Role: 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 Exposure


Why 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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