Backend Engineer

This role is for one of the Weekdays clients

Salary range: Rs 3000000 Rs 5500000 (ie INR 3055 LPA)

Min Experience: 5 years

Location: Remote (India)

JobType: fulltime

We are looking for a highly skilled Senior Backend Engineer to join our team and help build scalable, lowlatency, realtime 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 lowlatency and highthroughput to power realtime 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 endtoend 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, CICD pipeline to support frequent and reliable deployments.
• Monitor and optimize systems using Prometheus, Grafana, and CloudWatch to ensure sub50ms response times.

• Requirements:

  • 4+ years of handson experience with Java, Spring Boot, and Hibernate.
  • Strong expertise in MySQL, MongoDB, or ScyllaDB.
  • Proven experience building distributed, eventdriven systems using SQS, Kinesis, or similar technologies.
  • Understanding of data consistency models, fault tolerance, backpressure, and circuit breakers.
  • Experience designing lowlatency APIs and working in highperformance environments.
  • Familiarity with observability tools like Grafana, Prometheus, and CloudWatch.
  • Comfortable working in a remotefirst, 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 dataheavy architectures.
    • Familiarity with React or fullstack engineering.
    • Background or interest in AIML 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