Python Developer (GenAI)

Job description:

Strong experience in Python with frameworks such as Django and FastAPI, with a solid focus on OOPS, clean code, and backend architecture.

Experience building scalable, production-grade backend systems using microservices architecture, APIs (REST, SOAP, XML), and event-driven systems. Hands-on experience with PostgreSQL, NoSQL databases, Elasticsearch, caching using Redis, background task processing with Celery, containerization using Docker, and cloud deployment on AWS. Strong understanding of system performance, scalability, and reliability in real-world environments.

Please refer to the Company Website - https://scryai.com/careers/?q=jobs

Core Technical Requirements:

• Work with development teams and product managers to conceptualize software solutions.
• Developing and maintaining applications using Python, Fast API and SQL.
• Participating in a team-oriented environment to develop complex web-based applications.
• Adding new features to existing code.
• Data structure analysis and algorithm design, Solving complex performance problems and architectural challenges
• Experience in developing web applications and APIs (REST, XML, other open sources)
• Hands on experience in API Integration, DB design, Architecture Design Patterns, best coding practices and debugging.
• Experience working in an Agile development environment.
• Working Knowledge of Github
• Strong knowledge of backend system design, service-to-service communication, and asynchronous processing.
• Experience with message queues and event-driven architectures (Redis, Kafka, RabbitMQ – preferred).
• Understanding of application security fundamentals (authentication, authorization).
• Experience writing unit tests, integration tests, and using test frameworks (PyTest, unittest).
• Knowledge of CI/CD pipelines and automated deployments.
• Ability to write clean, maintainable, and well-documented code following SOLID principles.
• Optimize coding workflows and reduce cognitive overhead by leveraging AI tools for repetitive tasks, allowing for greater focus on complex logic and system design.

Good to Have:

• Good to have knowledge in Machine Learning, LLM, Agentic Workflow, Mongo.
• Knowledge of dockers is plus
• In depth knowledge of Source Code Repository.

Roles and Responsibilities:

• Should be a problem solver with an attitude to contribute towards the success of Team Project as well as organization.
• Should be able to guide other members in the team.
• Should take initiatives to improve code quality standards and team efficiency.