I build backend systems with a focus on reliability, maintainability, operational visibility, and sound software design.
My primary background is in Python, Django, Django REST Framework, and PostgreSQL, while I'm increasingly working across system design, Java, asynchronous processing, observability, infrastructure, and production engineering.
I care about more than getting software to work. I want to understand how a system behaves, where it can fail, how it can be operated, and how it can evolve without becoming difficult to maintain.
I tend to look at backend systems through several connected layers.
The software that implements business behavior.
The systems responsible for storing and retrieving information reliably.
The work that happens outside the request-response cycle.
The environment in which software actually lives.
I enjoy understanding how these layers interact rather than treating them as isolated technologies.
My current engineering interests include:
- System Design & Architecture
- Backend Architecture
- PostgreSQL Performance Engineering
- Observability & Monitoring
- Asynchronous Processing
- Event-Driven Systems
- Reliability Engineering
- Failure Analysis & Recovery
- Internal Platforms & Operational Tooling
- API Design
- Software Maintainability
A recurring question in my work is:
What happens when this system is under load, something fails, data becomes inconsistent, or an external dependency disappears?
- Python
- Django
- Django REST Framework
- Java
- FastAPI
- Celery
- PostgreSQL
- Redis
- Linux
- Docker
- Nginx
- Git
- GitHub Actions
- REST API design
- Object-oriented design
- Database design
- Automated testing
- Code review
- Git-based collaboration
- Debugging & failure analysis
- Documentation
I believe good backend engineering is not only about writing code that works.
It is about building software that is:
Correct — it behaves according to its intended business rules.
Maintainable — another engineer can understand and safely change it.
Observable — when something goes wrong, there is enough information to understand why.
Reliable — failures are expected, handled, and recoverable.
Secure — sensitive operations and data are protected by design.
Operational — the system can actually be deployed, monitored, backed up, and maintained.
I am especially interested in the space between software development and operations—where architecture decisions become real production behavior.
I'm deliberately expanding beyond framework-level development into deeper software engineering:
- System design
- Object-oriented design
- Software architecture
- Java and backend development
- Distributed systems fundamentals
- Database internals and performance
- Observability
- Linux and infrastructure
- Testing and reliability
- Collaborative software development
My goal is to become the kind of engineer who can take a problem from requirements → architecture → implementation → deployment → operation, and reason about the tradeoffs at each stage.
- Simple designs over unnecessary complexity
- Explicit tradeoffs over "best practices" without context
- Small, understandable components
- Strong data models
- Observable systems
- Failure-aware engineering
- Good documentation
- Code review and collaborative learning
- Continuous improvement
I'm interested in working on backend systems, infrastructure, developer tooling, and software that solves real operational problems. If you're building something where reliability, data, APIs, and system behavior matter, I'm interested.
Github - https://github.com/ChaserFrank LinkedIn - https://www.linkedin.com/in/francis-kimani-630031397/