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Hire Senior Python Developers in 48 Hours

Experienced in Python, FastAPI, data engineering, microservices, and MLOps. No recruitment fee. Flexible team scaling up or down. Trial period and quality guarantee. Rates starting at $30/hour.

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Solutions Python Developers Build

Our engineers work to established standards to build enterprise-ready software. They bring sharp analysis, a proactive mindset, clear communication, strong collaboration, full ownership of outcomes, and meticulous attention to detail.
Build and maintain Python backend services (FastAPI/Django/Flask) with clean architecture and strong typing where it helps.
Design and implement REST APIs with OpenAPI/Swagger (versioning, pagination, consistent error model).
Develop GraphQL APIs in Python (schema design, resolvers, batching, caching).
Build real-time features with WebSockets (FastAPI/Starlette, Django Channels) for chat, presence, live updates.
Implement event-driven services and message consumers/producers (Kafka/RabbitMQ/SQS).
Create background jobs and schedulers (Celery/RQ/Arq; queues, retries, backoff, idempotency).
Implement authentication and authorization in Python services (OAuth2/OIDC, JWT, RBAC, mTLS where needed).
Optimize Python performance (profiling, async I/O tuning, memory leaks, CPU hotspots).
Implement caching strategies (Redis, in-memory, cache invalidation patterns).
Create observability for Python services (structured logging, OpenTelemetry tracing, metrics).
Design database access layer in Python (query optimization, transactions, migrations, ORMs like SQLAlchemy/Django ORM).
Prepare Python apps for deployment (Docker-ready builds, K8s, env config, health checks, graceful shutdown).
Review CVs of Available Candidates
Python Architect Developer
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Middle Python Developer
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Senior Python Developer
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Skill matrix

Technologies our Python developers use
Backend frameworks

Django, Flask, FastAPI, Django REST Framework, Starlette

Background Processing

Asyncio, Celery, RQ / Dramatiq, APScheduler

Data & Machine Learning

NumPy, pandas, SciPy, PyTorch, TensorFlow/Keras, Matplotlib / Plotly

Databases

PostgreSQL, MySQL, SQL Server, MongoDB, Elasticsearch / OpenSearch, Redis

Clouds & Containers

AWS, Azure, Google Cloud, Docker, Kubernetes, Terraform

Messaging & Event Streaming

Kafka, RabbitMQ, AWS SQS, Redis Streams

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Why Python for Enterprise AI & Data

Python is the fastest path to enterprise AI and data systems without sacrificing maintainability.
Best AI ecosystem: r modern LLM frameworks, orchestration, evaluation tooling.
Production backends: FastAPI/Django, async, microservices, integrations.
Data scale: streaming + batch pipelines, analytics, ML workflows.
Enterprise delivery: clean code, testing strategy, observability, security controls.
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Trust & Compliance

We structure cooperation so your IP, code and data stay under your control.
NDAs signed; all IP and source code belong to you
ISO 9001, ISO 27001 and SOC 2–aligned infrastructure and processes
EU or US data residency as required, with delivery teams based in the EU
Code and infrastructure hosted and backed up in your repositories and cloud accounts (GitHub, Microsoft Azure, AWS)

Get a free license to our products

Hire your Python development team now and get a free license to our AI Project Manager’s Assistant and Knowledge Keeper to boost your engineering processes.

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Zero-risk quick start

Day 0

Send request, get CVs

Day 1

Review CVs & schedule interviews

Day 2-3

Interview candidates and pick the best fit

Day 4

Sign the contract with us

Day 5

Start developing your project!

You review the work regularly: if it doesn’t meet agreed quality standards – you don’t accept it and don’t pay.

Selected Python Projects

AI-Powered Data Management and Analytics Platform for a Large Financial Holding

An AI-based Assistant and Knowledge Keeper with comprehensive knowledge of IT systems, capable of providing essential information during the development and maintenance of software products. It can answer questions about the products, monitor task and project execution, anticipate potential issues, and ensure efficient team and resource management.

NLP ML/AI Data Science
fintech development agency
Automated Stock Trading Platform

An automated, real-time trading system that allows administrators to configure trading strategies based on various technical indicators, and investors to invest their money in a selected strategy.

Fintech Enterprise
custom software for investment management company
Financial Data Analytical Platform for one of top 15 Largest Asset Management

AI-based data analytical platform for wealth advisers and fund distributors that analyzes clients’ stock portfolios, transactions, quantitative market data, and uses NLP to process text data such as market news, research, CRM notes to generate personalized investment insights and recommendations.

Fintech ML/AI
fintech app development cost
View all projects

What our clients say

Itexus delivered the app according to the requirements. The team met all development milestones and deliverables. They were efficient, friendly, and cooperative. Itexus team was very timely with updates, a regular meeting cadence, and ad-hoc questions and answers via Slack. The team was very responsive and still is.

Risk Management Director, Investing Fund

Itexus’ work positions the business well for an imminent launch. They excel at managing their team, presenting frequent product demos to ensure that the project is aligned with development goals. An affordable price structure coupled with remarkable technical skill makes them an attractive partner.

Phill Osolinski
CEO Ryze Rewards

The assigned team was easy to work with and they are especially strong collaborators and communicators. They demonstrated flexibility, professionalism, and trust in everything they did, and completed the work on time and budget.

Sue Wollan Fan
CEO Mango Connects

Itexus excelled at both experimental AI and sprint-oriented UI/UX tasks. Itexus did strong project management work, too, a necessity in such a complicated project.

Jesse Dubin
Senior PM Standard&Poors

They’re a great group of developers who really understand the reality of business.

Andreea Vanacker
CEO SPARKX5

Benefits of outsourcing your Python development team to Itexus

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No hiring costs or delays – we handle sourcing, screening and onboarding
Quality guarantee – you don’t pay for work that doesn’t meet agreed standards
No equipment, office or infrastructure costs
No HR or people-management overhead on the client side
Flexible team scaling up and down on demand
Faster time-to-market – start in days instead of months of in-house hiring
Access to expertise accumulated across hundreds of delivered projects
Part-time and on-demand experts for one-off tasks (DevOps, UI/UX, QA, architects)
Reduced delivery risk – we provide replacements and ensure knowledge transfer
Transparent all-inclusive rates – everything is included in the hourly price instead of complex payroll and admin
No spend on vacations, sick leaves, insurance or social benefits – you pay only for productive time

Why Itexus?

FinTech focus

banking, payments, trading, lending, wallets, and digital assets.

Proven delivery

300+ projects for 250+ clients across 23 countries.

End-to-end service

from initial concept, consulting, requirements and architecture documentation, through coding, QA, cloud engineering, to post-production support.

Transparent and reliable process

clear documentation, thorough manual and automated testing, progress reporting, timelines, and open communication.

Support and maintenance

SLA-backed monitoring, updates, and change management.

2013
when we started
300+
fintech projects delivered
250+
happy clients
23
countries served
75%
clients come through reference

FAQs

How do you use AI in delivery?

We use AI to speed up routine work (scaffolding, refactoring, test starters) and to enhance reviews, while keeping full human oversight and security controls.

Who manages the team?

Your Product/Engineering leads manage priorities and acceptance; our engineers integrate into your workflows, and we can provide a tech lead or delivery manager if needed.

How fast can we start?

Depending on your requirements, we can deliver the first candidate profiles within 48 hours.

Replacements and scaling?

We can replace specialists quickly in case of mismatch and scale the team up or down as your workload changes, with structured knowledge transfer.

IP and confidentiality?

We sign an NDA, assign IP rights to you, and work in your repos and cloud environment with least-privilege access and secure secrets handling.

Let’s discuss how we can help with your project

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1
Share your project idea

and we’ll get back to you within 24 hours to sign the NDA and discuss the next steps.

2
Discuss your project

with a team of expert software architects, fintech analysts, and UI/UX designers.

3
Receive a detailed proposal

including software architecture, functionality, UI/UX design, and a detailed cost estimate with a feature-by-feature breakdown.

4
We start development

If you like the proposal, we’ll sign the contract and start development within 1-2 weeks, and get your MVP live in 3-4 months.

Let’s discuss how we can help with your project