The Role
Develop and maintain modular, extensible backend services in Python using FastAPI. Design REST APIs and asynchronous systems, work with relational and NoSQL databases, and apply OOP, SOLID principles, and common design patterns. Containerize applications with Docker, support CI/CD deployments, write tests with Pytest, and collaborate with engineering teams. Bonus experience includes cloud platforms, message brokers, GraphQL, microservices, and event-driven architectures.
Summary Generated by Built In
Experience: 4–8 years
Tech Stack: Python, FastAPI, SQL/NoSQL, Docker, CI/CD
Required Skills & Experience
- 4–8 years of professional backend development experience in Python.
- 2+
years of production experience with FastAPI.
- Strong
understanding of REST API design, async I/O, and Pydantic.
- Experience
with relational and/or NoSQL databases.
- Familiarity
with containerization (Docker) and deployment best practices.
- Knowledge
of Git, CI/CD tools, and testing frameworks like Pytest.
- Good
problem-solving skills and team collaboration.
- Design
and implement clean, modular, and extensible code using OOP and SOLID principles.
- Understanding
of design patterns (e.g., Factory, Strategy, Singleton,
Repository)
Preferred (Bonus) Skills
- Experience
with cloud platforms (AWS, Azure, GCP).
- Familiarity
with message brokers (Kafka, RabbitMQ).
- Exposure
to GraphQL or other modern API paradigms.
- Background
in building microservices and event-driven architectures.
Skills Required
- 4-8 years of professional backend development experience in Python
- 2+ years of production experience with FastAPI
- Strong understanding of REST API design, async I/O, and Pydantic
- Experience with relational and/or NoSQL databases
- Familiarity with Docker and deployment best practices
- Knowledge of Git, CI/CD tools, and Pytest
- Ability to design clean, modular, and extensible code using OOP and SOLID principles
- Understanding of design patterns such as Factory, Strategy, Singleton, and Repository
- Good problem-solving skills and team collaboration
- Experience with AWS, Azure, or GCP
- Familiarity with Kafka or RabbitMQ
- Exposure to GraphQL or other modern API paradigms
- Background building microservices and event-driven architectures
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The Company
What We Do
Dailoqa is a compliance-first, AI-native, engineering-powered consultancy that builds agentic, enterprise-scale AI solutions for regulated financial institutions. Focused exclusively on financial services — retail, investment banking, corporate, wealth and insurance — it delivers Broccoli™, a hyperscaler-agnostic platform for production-ready, regulation-aware workflows and deploys live solutions across multiple regions.
