Our Python developers build backend systems, APIs, and automation that hold up under real production load, using Django, Flask, and FastAPI across FinTech, Healthcare, and SaaS. They take ownership from database design through deployment, writing code built to be maintained by someone other than the person who wrote it.
- 7+ years average experience building production Python systems
- Backend and automation projects delivered across industries
- End-to-end delivery from API design to database and deployment
A Python Development Team Serving Global Markets
We are a product-focused software development company serving clients globally, with a dedicated Python engineering team delivering across time zones.
Our Python developers have built backend systems and automation across 20+ industries, working directly with founders, product leads, and engineering teams across the US and UK time zones on systems that run in real production environments.
- ISO/IEC 20000-1:2018 certified, structured delivery on every engagement
- AWS Partner, Clutch Global 2024, 4.9/5 client rating
- Python delivery across FinTech, Healthcare, and SaaS globally
How We Onboard Your Python Developer
Structured and fast, with no extended discovery phase before your developer starts working with your actual codebase.
Share Your Codebase & Requirements
Tell us what you're building or maintaining and what your current stack looks like. We map this to the right Python specialization immediately.
Developer Matching
We shortlist developers based on framework experience, database familiarity, and prior work on systems similar in scale to yours.
Trial and Alignment
Run a paid trial sprint before committing. The developer reviews your codebase, runs the existing test suite, and picks up a real task first.
Active Development
From feature work to code review and deployment, the developer works inside your sprint cadence, in your timezone, with your tools.
Python Work We've Delivered
Backend Logic for AI Coaching
Mple needed to replace subjective, interview-based hiring judgments with something measurable: a system that could evaluate a candidate's communication and role-specific competencies consistently, without the bias and time cost baked into traditional recruiter-led interview processes.
We built the backend logic that powers the platform's scoring and role-play simulation, evaluating candidate responses, applying scoring rules consistently, and serving results back through the application in real time, giving recruiters a dependable, repeatable signal instead of a subjective read on each candidate.
Best suited for teams building or scaling a web backend: REST or GraphQL APIs, authentication, database design. This profile works in Django, Flask, or FastAPI and treats API design consistency and error handling as core, not an afterthought.
The right choice when the work is about moving and transforming data, reliably scheduled jobs, ETL pipelines, and internal tooling. This profile focuses on scripts and pipelines that continue to run correctly long after the person who wrote them has moved on.
Hire this profile when Python work is close to machine learning pipelines, data preprocessing, model-serving APIs, or integration glue code, drawing on the same Python libraries used across ML and AI. If the need is closer to model development itself, our AI/ML engineering profile may be a better fit.
Framework Choice Matched to the Problem
Django, Flask, and FastAPI solve different problems, and picking the wrong one shows up months later as unnecessary complexity or a framework fighting the project's actual needs. Our developers choose based on what the system actually has to do; a content-heavy, admin-driven app calls for a different framework than a lightweight, high-throughput API, rather than defaulting to whatever they personally know best.
Code Built for the Next Developer
Python's flexibility makes it easy to write code that works today and becomes unreadable in six months. Our developers write with type hints, clear naming, and consistent structure, and document the non-obvious decisions as they go. That discipline is what determines whether a handoff takes an afternoon or turns into a multi-week archaeology project for whoever inherits the code next.
Testing as Part of the Build, Not After
Untested Python scripts have a way of failing quietly in production, especially around edge cases in data processing. Our developers write tests alongside the feature, not as a separate cleanup pass squeezed in before the deadline, so failures surface during development instead of showing up as a support ticket after the code has already shipped.
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Clients Served
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Industries Covered
Python-based API development for REST and GraphQL services in Django, Flask, or FastAPI, built with clear versioning and consistent error handling.
Scheduled and event-driven data pipelines that move and transform data reliably, built to fail loudly rather than silently.
Internal automation scripts that eliminate repetitive manual work, documented well enough for someone else to maintain.
Structured data extraction from external sources, built with rate-limiting and failure handling for sources that change without notice.
Integration with payment gateways, CRMs, and external services, with proper retry logic and error handling built in.
Schema design and query optimization using SQLAlchemy or Django ORM, built to stay fast as data volume grows.
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Incremental modernization of older Python 2 or outdated Python 3 codebases without a risky full rewrite.
Test suite setup and CI/CD pipeline configuration so code changes are validated automatically before reaching production.
A Dedicated Python Developer, Fully Embedded in Your Workflow
A full-time Python developer embedded in your team, working exclusively on your codebase, in your time zone, within your sprint cadence. Suited for ongoing backend and product development.
Full-Cycle Ownership
The developer owns features end to end, from API design and database schema through testing, deployment, and post-launch fixes.
Sprint Integration
Works within your existing workflow, attends standups, contributes to planning, and ships code on your team's cadence rather than on the side.
Codebase Context Continuity
Same developer, same context, every sprint, architectural decisions and edge cases stay with one person instead of being relearned.
Toolchain Alignment
Works inside your existing CI/CD pipeline, database, and deployment infrastructure, with no separate workflow to reconcile.
Python Development Across Industries
Industry context changes what the system actually needs to handle, a developer who has worked in your vertical understands the constraints upfront.
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Built for Every Stage of Your Python Development
Startups
Early-stage teams need a developer who can ship a working backend quickly, make pragmatic framework choices without overbuilding, and structure the codebase so it doesn't need a rewrite the moment the product finds traction.
Mid-Size Businesses
Growing teams need developers who can extend an existing backend without introducing instability, improve test coverage on code that's grown organically, and start addressing performance issues that only show up at scale.
Enterprise Level Businesses
Enterprise Python development requires working within established code review and deployment processes, coordinating with security and data governance teams, and maintaining systems where downtime or data errors carry real business consequences.
They have strong expertise in the latest technologies and provide excellent guidance in using them effectively.
CODE B launches the products quickly, and their solutions have excellent architecture and are scalable.
CODE B is proactive in coming up with solutions.
Aside from getting the job done, they’re able to provide their expertise and share their opinion.
They’re a very bright team that requires minimal levels of communication or time investment to be very effective.
Their constant communication was a key aspect of the success.
They completed the project within the timeline we gave them, and they did it within budget.
Had a great experience working with the team and in times of crisis, CODE B team was always there to support us.
The way that they have supported us by giving us one of their developers to work directly with our development team.
Our overall experience has been very positive.
They are friendly and reliable.
The ability to deliver on time impressed us the most.
They’re excellent at what they do and come up with solutions for various problems.
CODE B will work overtime to resolve issues, which is a difficult trait to find.
Code B’s communicative.
I’ve had a great experience working with CODE B
The main positive point of working with CODE B team is their analyzing skills.
They are receptive and try to adjust to meet our requirements.
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