Backend Engineer

This role is for one of the Weekday's clients

Salary range: Rs 3000000 - Rs 5500000 (ie INR 30-55 LPA)

Min Experience: 5 yearsLocation: Remote (India)JobType: full-timeWe 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