Custom Python development for cloud-native and data-driven applications
We help businesses harness the power of Python to build scalable cloud solutions, automate workflows, and unlock data insights.
Whether you need a secure backend, AI integration, or API-first architecture, our Python developers deliver with precision and speed.
Why hire remote Python developers?
Tap into seasoned engineers skilled in Django, Flask, FastAPI, and cloud-native development, no matter where they’re based.
Convert software development into predictable operational expenses with remote Python teams, ideal for startups managing runway and cash flow.
Easily scale Python resources up or down to match your sprint velocity, product roadmap, or infrastructure evolution.
Quickly onboard vetted Python developers without waiting on long recruitment cycles or local hiring constraints.
Ensure continuous progress across delivery cycles by leveraging cross-time-zone teams for collaborative agile workflows.
Our remote Python developers excel at building robust APIs, async services, and automation pipelines with Python, often integrated with PostgreSQL, Redis, Celery, and Azure Functions.
Python development services for scalable, modern business solutions
CIGen’s Python development services enable startups and enterprises to build powerful, cloud-ready, and data-driven applications. Whether you’re creating backend APIs, automating workflows, or developing AI-powered features, our team delivers robust solutions using Python’s mature ecosystem - from Django to FastAPI and cloud-native tools on Azure.
We design asynchronous and modular backend architectures using FastAPI or Flask, with event-driven or RESTful patterns for flexibility and speed.
Using popular Python frameworks, we build full-featured web applications with robust admin panels, ORM-backed data models, and integrated security features.
Set up automated testing, linting, and deployment workflows using GitHub Actions, Azure Pipelines, or Jenkins for continuous delivery.
We containerize Python workloads with Docker, orchestrate them with Kubernetes or Azure Kubernetes Service (AKS), and ensure seamless environment parity.
We implement RESTful and asynchronous APIs using FastAPI or Flask, optimized for low-latency data exchange and easy client consumption.
Secure endpoints using JWT/OAuth2, integrate API gateways, and configure throttling to protect against abuse and ensure SLA compliance.
Generate and maintain real-time API docs using tools like FastAPI’s built-in OpenAPI support or Swagger UI integration.
We write pytest-based test suites and provide mocked services and environments to ensure safe integration and release workflows.
Develop event-driven Python microservices using Azure Functions for background jobs, webhooks, and scalable serverless workloads.
Deploy Python apps in Docker containers, manage lifecycle with Helm, and scale workloads across Azure Kubernetes Service (AKS) clusters.
Integrate OpenTelemetry and Azure Monitor to track service dependencies, request traces, and application performance in real-time.
Automate environment provisioning with Bicep, Terraform, or Pulumi, including storage accounts, managed identities, and Python app hosting on Azure App Services.
Build robust batch and stream processing pipelines using pandas, PySpark, and Dask - for data cleaning, transformation, and aggregation.
Orchestrate hybrid data workflows by integrating Python scripts into Azure Data Factory for scalable ingestion and processing.
Use Matplotlib, Plotly, or Dash to create dynamic visual dashboards and custom reports tailored to business metrics.
Ensure data quality with tools like Great Expectations or Pandera, enabling schema checks and automated anomaly detection.
Train and evaluate models for classification, regression, NLP, and more using industry-standard libraries.
Automate ML workflows with Azure ML for training, hyperparameter tuning, model versioning, and deployment.
Package models as RESTful APIs or integrate them into FastAPI/Flask apps for real-time predictions or batch inference.
Develop AI features using Python with Azure OpenAI for tasks like summarization, document parsing, and chat-based interfaces.
Analyze legacy code to identify technical debt, update syntax to Python 3.x+, and improve modularity and testability.
Decompose large Python apps into microservices using FastAPI or Flask Blueprints, with clear domain boundaries.
Update unsupported libraries, remove deprecated packages, and rebuild environments with virtualenv, pip-tools, or Poetry.
Rehost or replatform legacy Python apps to Azure App Services or containerized environments with minimal downtime.
We follow clean architecture principles to separate concerns, ensure testability, and support scalable multi-team collaboration.
Implement SSO, OAuth2, and Azure Active Directory integration for secure user and service authentication in line with corporate policies.
Connect Python apps with ERP, CRM, or third-party platforms using REST, SOAP, GraphQL, or message queues like RabbitMQ and Azure Service Bus.
We bake in logging, auditing, role-based access control, and encryption - helping clients meet ISO 27001, HIPAA, or GDPR requirements.
Python tech ecosystem – technologies we work with
We leverage the power of the Python ecosystem - from modern async web frameworks and data pipelines to ML libraries and cloud-native runtimes.
Ready to bring Python power to your next project?
Let’s build scalable, cloud-ready, and AI-enabled applications with Python, tailored to your infrastructure, goals, and timeline.
Hire Python developers on your terms
Dedicated team
Get a committed Python team working exclusively on your product, ideal for long-term builds, scaling platforms, or multi-phase R&D initiatives.
We assemble cross-functional teams with Python backend engineers, DevOps specialists, data experts, and QA professionals. You retain full control over the roadmap while we manage delivery cadence, knowledge continuity, and process alignment.
Staff augmentation
Add skilled Python developers to your in-house team to accelerate delivery or close capability gaps - fast.
Whether you need a FastAPI specialist, a Django engineer, or a Python DevOps resource, our developers integrate into your workflows with minimal ramp-up, following your toolchain and sprint rhythm.
Project-based delivery
Outsource your Python project end-to-end — fixed scope, budget, and timeline, delivered by an accountable, senior-level team.
This model suits startups and enterprises alike for clearly scoped products, backend systems, or API-driven services. We handle the full cycle: architecture, development, QA, deployment, and handover.
Clients about our cooperation
See what our clients say about the way our team helped them leverage their business potential.
They don’t just write code, they think through projects to make sure they find the best solution. Because of their thorough researching processes, their deliverables consistently exceed expectations.
Michael Rodriguez
CEO, InnovateTech Solutions
We are happy to share our thoughts on how professional, committed, and flexible CIGen is. The team we have worked with is always respectful and organized. Listening is one of their biggest strengths, as every time we present an idea for improvement we receive many suggestions for its realization.
Justas Beržinskas
Co-Founder at Kloogo
Working with the CIGen team is a rewarding and satisfying experience. Professionally, they are smart experts committed to understanding your needs and bringing to life what you are looking for. I think they are warm and welcoming people. I am looking forward to working again with the CIGen team.
Andreas Mildner
Co-Founder and Manager at GenieME
We have been working with CIGen for a few years. Our close cooperation brings significant value and result. They think from a business perspective, meet time-lines and budget. We have completed several projects and continue working together. Happy to recommend!
Michael Nilsson Pauli
CEO & Co-founder at Kodexe
The team addresses concerns promptly and generally completes tasks on time. Moreover, they pay close attention to the client’s needs. They work hard and take ownership of their tasks, resulting in a truly smooth collaboration.
Nandu Majeti
CTO at Rocktop Technologies
CIGen delivered a high-quality coded mobile app, which satisfied our requirements. They communicated daily and asked only relevant questions to identify the key to the project development. We were impressed with their expertise.
Alexander Schultz
CEO at Third Act
Thanks to CIGen, we reduced our technical debt and received ample support for their strategic technical initiatives. The team has a great project management approach and always aims to improve their partnership with us. Moreover, their members are proactive and highly skilled.
Karl Otto Aam
CTO at Skytech Control
What can you unlock with Python analytics & automation?
From predictive modeling to real-time insights, our Python engineers help you turn data into action across domains and industries. Whether you need to extract business insights from scattered datasets or integrate AI into production workflows, Python provides the backbone. Here's what our team helps you achieve:
Python for microservices
Microservices built with Python are lightweight, fast to develop, and highly maintainable, making them ideal for evolving cloud-native systems.
We help teams break down monoliths or build new distributed services using Python frameworks and DevOps practices tailored for scale, isolation, and resilience.
We use FastAPI and Flask to build stateless, asynchronous microservices that are optimized for speed, modularity, and easy deployment.
We implement REST, gRPC, and message-based communication patterns with RabbitMQ, Redis Streams, or Azure Service Bus, based on latency and consistency requirements.
Our team packages Python services using Docker and deploys them on orchestrators like Azure Kubernetes Service (AKS) or Helm-managed clusters.
Integrated health checks, logging with ELK or Azure Monitor, and CI/CD pipelines ensure each service is monitored, deployable, and independently upgradable.
Our Python developer hiring process
We help you scale your engineering capacity with pre-vetted Python developers, whether you're building APIs, automating workflows, or launching data-driven applications. Our streamlined process ensures fast onboarding, flexible scaling, and strong technical alignment from day one.
We collaborate with you to define the project scope, preferred stack (e.g., Django, FastAPI, Pandas), and key deliverables, shaping a clear candidate profile.
We first assess our internal Python talent pool for immediate alignment, enabling quicker allocation when timelines are tight.
Our recruitment team sources Python specialists from our extended network and delivers qualified, pre-screened profiles in 3–7 business days.
Each candidate completes a hands-on coding assessment focused on real-world Python tasks - reviewed by our senior engineers.
You meet selected candidates to assess communication, team fit, and domain knowledge before making a decision.
We manage the admin side (from agreements to onboarding) and ensure the developer is integrated into your tools, repo, and communication channels.
Our delivery team monitors satisfaction, handles feedback, and supports scaling up, replacing, or adjusting roles as your needs evolve.
Python development services FAQ
We aim to supply our clients with exhaustive information about the way we engage in partnership for ease of doing business and transparency. We’ve collected a few facts that help you understand our processes.
Depending on your requirements, we can typically present pre-vetted Python candidates within 5–10 business days.
If a suitable developer is available in-house, onboarding can begin even faster.
Yes. We offer flexible engagement models - from single Python specialists to dedicated cross-functional teams.
Whether you need a backend engineer, data expert, or ML developer, we can scale to meet your project scope and growth pace.
We build high-performance APIs using FastAPI or Flask, complete with OpenAPI documentation, authentication layers, and asynchronous logic.
These APIs are production-ready and often used in client portals, mobile apps, or internal platforms.
Yes, we build ETL pipelines, automate data processing, and develop analytics dashboards using pandas, PySpark, Dash, and Plotly.
Whether you're working with SQL/NoSQL, cloud warehouses, or live telemetry, our Python experts can support your data goals end-to-end.
Absolutely. We specialize in Python and Azure integration - from deploying apps on Azure App Services to orchestrating pipelines with Azure Data Factory and Azure Functions.
We also support Azure Machine Learning and OpenAI API integration for advanced workloads.
We use Python to build a wide range of applications - from cloud-native platforms and API-first SaaS products to data analytics tools and AI-powered enterprise systems.
Our solutions are tailored to your architecture, domain, and scalability needs.
We follow best practices for modular design, automated testing, and continuous deployment.
Our team uses FastAPI, Flask, and containerized environments like Docker and AKS to build scalable Python microservices with strong observability and fault tolerance.
Scale your engineering team with vetted Python talent - fast and on your terms
