Job Description :

Responsibilities :

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

- Build secure, well-structured, and high-performance RESTful APIs for web applications and platform integrations.

- Design and optimize data models, queries, and access layers across relational and NoSQL databases.

- Contribute to application architecture, backend modernization, and service reliability improvements.

- Implement logging, monitoring, observability, and error-handling practices to improve operational resilience.

- Collaborate with front-end engineers and product teams to define service contracts and deliver end-to-end solutions.

- Write automated tests, participate in code reviews, and uphold engineering standards for quality, security, and maintainability.

- Support deployment pipelines, troubleshooting, and production issue resolution.

- Participate in agile ceremonies and contribute to continuous improvement across engineering practices.

Required Qualifications :

- 4 to 7 years of professional software development experience with a strong focus on backend engineering.

- Very strong expertise in Python and backend application development.

- Strong hands-on experience building APIs and backend services using FastAPI.

- Strong experience with relational databases and NoSQL databases, including data modeling and query optimization.

- Experience designing, building, and consuming RESTful APIs and distributed services.

- Strong understanding of testing, debugging, performance tuning, and production support for backend systems.

- Experience with source control, CI/CD practices, and modern development workflows.

- Ability to work effectively in agile teams and collaborate across product, QA, and engineering functions.

- Strong communication, ownership, and problem-solving skills.

Preferred Qualifications :

- Good-to-have knowledge of JavaScript, TypeScript, React, and modern front-end development concepts.

- Experience with cloud platforms, containerization, and CI/CD pipelines.

- Exposure to event-driven systems, asynchronous processing, or distributed architectures.

- Experience with observability, performance tuning, and operational monitoring tools.

- Exposure to enterprise business platforms and complex data workflows.