The Role
Develop and maintain clean, modular, extensible backend applications in Python and FastAPI. Design REST APIs using asynchronous I/O and Pydantic, work with relational or NoSQL databases, and apply OOP, SOLID principles, and established design patterns. Use Docker, Git, CI/CD, testing frameworks, and deployment best practices. Preferred experience includes cloud platforms, message brokers, GraphQL, microservices, and event-driven architectures.
Summary Generated by Built In
Required Skills & Experience
- 3–5 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
- 3-5 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 containerization and deployment best practices
- Knowledge of Git, CI/CD tools, and Pytest or comparable testing frameworks
- Good problem-solving and team collaboration skills
- Ability to design clean, modular, and extensible code using OOP and SOLID principles
- Understanding of design patterns including Factory, Strategy, Singleton, and Repository
- Experience with cloud platforms such as AWS, Azure, or GCP
- Familiarity with Kafka or RabbitMQ message brokers
- 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.
