Backend Engineer
Weekday AI
Job Description
This role is for one of the Weekday's clients Salary range: Rs 1500000 - Rs 2800000 (ie INR 15 - 28 LPA) Min Experience: 3 years Location: Mumbai JobType: full-time We are looking for a Backend Engineer with 3โ4 years of hands-on experience in building and maintaining production-grade systems. The ideal candidate has strong expertise in Python, with a preference for FastAPI, and a solid understanding of core backend concepts such as HTTP protocols, WebSockets, queuing systems, and distributed architectures. You will play a key role in designing and developing services that are robust, scalable, and fault-tolerant.
Requirements Key Responsibilities Design, develop, and maintain backend services using Python, with a strong emphasis on FastAPI-based applications Build APIs and microservices that are efficient, scalable, and easy to maintain Work with HTTP protocols and WebSockets to enable real-time and asynchronous communication Implement queue-based systems (e.g., task queues, message brokers) for handling background jobs and distributed workloads Ensure system reliability by designing for failure scenarios, including retries, circuit breakers, and graceful degradation Optimize application performance for concurrency, scalability, and low latency Collaborate with cross-functional teams including frontend, DevOps, and product to deliver high-quality features Write clean, well-documented, and testable code following best practices Participate in code reviews and contribute to improving engineering standards Required Skills & Qualifications 3โ4 years of backend development experience Strong proficiency in Python Hands-on experience with FastAPI (preferred) or similar modern Python frameworks Solid understanding of HTTP protocols, RESTful API design, and WebSockets Experience working with asynchronous programming and concurrency models Familiarity with distributed systems concepts such as service communication, scaling, and fault tolerance Experience with message queues (e.g., RabbitMQ, Kafka, or similar systems) Strong problem-solving skills with the ability to debug complex production issues Good understanding of databases (SQL/NoSQL) and data modeling Good to Have Experience with containerization tools like Docker Exposure to cloud platforms (AWS, GCP, or Azure) Understanding of CI/CD pipelines and deployment practices Knowledge of monitoring and observability tools What Weโre Looking For We value engineers who think beyond just writing codeโthose who understand how systems behave under load, how failures propagate, and how to design for resilience. You should be comfortable working in a fast-paced environment, taking ownership of your work, and continuously learning and improving.