Backend Engineer Dayworks Private Limited

5.0 - 10.0 years

30 - 55 Lacs

Remote, , 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 skilledSenior Backend Engineerto join our team and help buildscalable, low-latency, real-time systemsat 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 scalemicroserviceswithlow-latencyandhigh-throughputto power real-time hotel search, pricing, availability, and distribution. Implement complexalgorithmsanddata modelsfor inventory and pricing workflows. Collaborate with product managers and architects to ownend-to-end developmentfrom design to deployment. LeverageLLM tools(e.g., Claude, Cursor) and frameworks likeLangChainto enhance development velocity using RAG, prompts, and agents. Conductrigorous code reviewsand contribute to an automated,CI/CD pipelineto support frequent and reliable deployments. Monitor and optimize systems usingPrometheus, Grafana, and CloudWatchto ensure sub-50ms response times. Requirements: 4+ years of hands-on experience withJava,Spring Boot, andHibernate. Strong expertise inMySQL,MongoDB, orScyllaDB. Proven experience buildingdistributed,event-driven systemsusingSQS,Kinesis, or similar technologies. Understanding ofdata consistency models,fault tolerance,backpressure, andcircuit breakers. Experience designinglow-latency APIsand working in high-performance environments. Familiarity with observability tools likeGrafana,Prometheus, andCloudWatch. Comfortable working in aremote-first, asynchronous team environment with strong documentation practices. Passionate aboutclean code,automation, and drivingengineering excellence. Nice to Have: Experience withLLM pipelinesoragentic workflows. Exposure toDatabricks,Spark, or data-heavy architectures. Familiarity withReactor full-stack engineering. Background or interest inAI/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

Posted 19 hours ago

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