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 robust focus on system performance, availability, and distributed computing.

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

📌 Backend Engineer (India)
🏢 Leading
📍 India