The Role
Develop and maintain scalable Python backend applications using FastAPI, Django, APIs, microservices, databases, asynchronous processing, and event-driven architectures. Design efficient solutions, optimize performance, write automated tests, implement secure and maintainable code, and contribute to CI/CD deployments. Collaborate with product and engineering teams, participate in requirements gathering, analyze risks, estimate work, improve coding standards, and guide team members.
Summary Generated by Built In
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.
- Should be able to Participate in the requirements gathering and come up with efficient solutions.
- Should be able to do risk analysis and efficiently estimate at high and low levels.
Our perfect candidate is someone that:
- Is proactive and an independent problem solver
- Is a constant learner. We are a fast-growing company. We want you to grow with us!
- Are a team player and good communicator
- Has a strong software engineering mindset with ownership and accountability
Skills Required
- Strong experience with Python
- Experience with Django and FastAPI
- Knowledge of object-oriented programming, clean code, and backend architecture
- Experience building scalable, production-grade backend systems
- Experience with microservices architecture
- Experience developing REST, SOAP, XML, and other web APIs
- Experience with PostgreSQL, SQL, and NoSQL databases
- Experience with Elasticsearch
- Experience with Redis caching
- Experience with Celery or background task processing
- Experience with Docker and AWS cloud deployment
- Understanding of system performance, scalability, and reliability
- Experience with API integration, database design, architecture patterns, debugging, and coding best practices
- Experience with data structures, algorithm design, performance optimization, and architectural problem-solving
- Experience working in an Agile development environment
- Working knowledge of GitHub and source code repositories
- Knowledge of backend system design, service-to-service communication, and asynchronous processing
- Experience with message queues and event-driven architectures
- Understanding of authentication and authorization fundamentals
- Experience writing unit and integration tests using PyTest or unittest
- Knowledge of CI/CD pipelines and automated deployments
- Ability to write clean, maintainable, and documented code following SOLID principles
- Knowledge of Machine Learning, LLMs, or agentic workflows
- Knowledge of MongoDB
- Knowledge of Docker
- Ability to guide team members and improve code quality and team efficiency
- Ability to participate in requirements gathering, risk analysis, and work estimation
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The Company
What We Do
Scry AI is a research-led enterprise AI company that develops intelligent platforms for businesses in banking, financial services, insurance, logistics, and industrial sectors. Its suite includes Auriga for conversational AI, Collatio for document intelligence, and Concentio for cognitive IoT and operational intelligence. The platforms process fragmented data, automate document and workflow operations, support compliance, and generate actionable insights to improve enterprise efficiency.
