Senior Software Engineer - Backend Development

About the Role :

We are seeking a highly motivated Senior Software Engineer in backend development to join our fast-growing engineering team. The ideal candidate is a hands-on developer with deep expertise in Python, Django/FastAPI, and cloud-native architectures using AWS or Azure. You will play a pivotal role in designing and developing scalable microservices and high-performance web applications across diverse domains including fintech, retail, and healthcare.

Key Responsibilities :

- Lead the design, development, and deployment of scalable microservices using Python (FastAPI/Django).

- Build and maintain RESTful APIs to enable seamless integration with front-end, third-party platforms, and

external systems.

- Architect cloud-native applications using AWS services like Lambda, S3, EC2, SQS, and CloudWatch.

- Integrate real-time data pipelines using Kafka/RabbitMQ and ensure system responsiveness and fault tolerance.

- Collaborate with cross-functional teams to implement features, resolve issues, and improve performance.

- Apply containerization using Docker and orchestrate deployments using CI/CD pipelines (GitHub Actions, GitLab CI).

- Contribute to system and architecture design discussions, ensuring code quality and scalability.

Required Skills & Experience :

- Strong proficiency in Python with frameworks like Django, FastAPI, and Flask.

- Expertise in cloud platforms - AWS (Lambda, SQS, SNS, EC2), Microsoft Azure.

- Experience with PostgreSQL, MongoDB, and DynamoDB for data modeling and optimization.

- Familiarity with Apache Kafka, RabbitMQ, and other messaging systems.

- Solid understanding of CI/CD, Docker, and Kubernetes in production environments.

- Proficiency in Git, JIRA, Confluence, and Agile methodologies.

- Good exposure to React.js, Tailwind CSS is a plus for full-stack integration.

Good to Have :

- Exposure to projects in domains such as banking (BaaS), eCommerce SaaS, and data analytics.

- Experience with machine learning, EDA, or predictive modeling (e.g., house price prediction).

- Knowledge of WebSockets, Celery, and Redis.

Education :

- B.Tech in Computer Science or related field from a reputed university.