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Backend Engineer at Weekday. Location Information: India - Remote. . This role is for one of the Weekday's clients. Salary range: Rs 3000000 - Rs 5500000 (ie INR 30-55 LPA). Min Experience: 5 years. Location: Remote (India). JobType: full-time. We are looking for a highly skilled . Senior Backend Engineer. to join our team and help build . scalable, low-latency, real-time systems. at the heart of a global marketplace. This role requires deep expertise in Java and microservices architecture, with a strong focus on system performance, availability, and distributed computing.. Requirements. Key Responsibilities:. . Design, build, and scale . microservices. with . low-latency. and . high-throughput. to power real-time hotel search, pricing, availability, and distribution. . . Implement complex . algorithms. and . data models. for inventory and pricing workflows. . . Collaborate with product managers and architects to own . end-to-end development. from design to deployment. . . Leverage . LLM tools. (e.g., Claude, Cursor) and frameworks like . LangChain. to enhance development velocity using RAG, prompts, and agents. . . Conduct . rigorous code reviews. and contribute to an automated, . CI/CD pipeline. to support frequent and reliable deployments. . . Monitor and optimize systems using . Prometheus, Grafana, and CloudWatch. to ensure sub-50ms response times. . . Requirements:. . 4+ years of hands-on experience with . Java. , . Spring Boot. , and . Hibernate. . . . Strong expertise in . MySQL. , . MongoDB. , or . ScyllaDB. . . . Proven experience building . distributed. , . event-driven systems. using . SQS. , . Kinesis. , or similar technologies. . . Understanding of . data consistency models. , . fault tolerance. , . backpressure. , and . circuit breakers. . . . Experience designing . low-latency APIs. and working in high-performance environments. . . Familiarity with observability tools like . Grafana. , . Prometheus. , and . CloudWatch. . . . Comfortable working in a . remote-first. , asynchronous team environment with strong documentation practices. . . Passionate about . clean code. , . automation. , and driving . engineering excellence. . . . Nice to Have:. . Experience with . LLM . pipelines. or . agentic workflows. . . . Exposure to . Databricks. , . Spark. , or data-heavy architectures. . . Familiarity with . React. or full-stack engineering. . . Background or interest in . AI/ML applications. . . . Tech Stack Overview:. Backend & Infrastructure:. Java (Spring Boot), Microservices, AWS ECS, Redis, ScyllaDB, MongoDB, GraphQL, Lambda, SQS. . Data & AI:. Databricks, Spark, Kinesis, Claude, Cursor, LangChain. . Observability:. Prometheus, Grafana, CloudWatch. .