We are looking for a skilled Senior Backend Engineer with 3- 8 years of professional experience in developing scalable web applications and backend services. The ideal candidate will have strong expertise in FastAPI, along with experience in database design, CI/CD, and cloud environments.

Roles & Responsibilities :

- Design, develop, and maintain scalable backend services and APIs using FastAPI.

- Develop and optimize web applications with a strong focus on performance, reliability, and security.

- Design and manage relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB).

- Collaborate with frontend, DevOps, product, and data science teams to deliver end-to-end solutions.

- Integrate machine learning models and background task queues (e.g., Celery, Redis, RabbitMQ) into production systems.

- Ensure high code quality through unit and integration testing (e.g., PyTest), peer reviews, and best practices.

- Troubleshoot and resolve issues in development and production environments.

- Implement CI/CD pipelines, manage deployments, and work closely with DevOps on automation.

- Write and maintain technical documentation for APIs, services, and system workflows.

Required Skills & Qualifications

- 3-8 years of professional experience in backend/full stack development with Python.

- B.E / MTech sin Computer Science, IT, or related fields.

- Hands-on experience with FastAPI (preferred), Flask, and/or Django in production environments.

- Proficiency in designing and consuming RESTful APIs.

- Strong database experience with SQL (PostgreSQL, MySQL) and familiarity with NoSQL (MongoDB).

- Experience with Git/GitHub, Docker, and CI/CD pipelines.

- Good understanding of asynchronous programming in Python.

Good to Have :

- Experience with Redis, Celery, or other background task queues.

- Knowledge of GraphQL, WebSockets, microservices architecture.

- Familiarity with Kubernetes or other container orchestration tools.

- Exposure to cloud platforms such as AWS, GCP, or Azure.

- Familiarity with real time stream processing and AI pipelines

- Understanding of data science workflows, statistics, or mathematics concepts.