
Java Software Engineer
4 days ago
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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