Hire Top Python Developers in 48 Hours

What are the right questions that’ll help you filter out the right candidate? If you’re wondering the same, we’ve got you covered. In the following sections, we’ll discuss:

• 5 technical interview questions to ask Python developers and possible answers to expect
• 5 exploratory interview questions to ask Python developers and possible answers to expect

Now, let’s begin with the 3 skills you must look for before you hire the best Python developers:

1. 3 Skills to look for before you hire Python developers

   • Knowledge of core Python

     The developer must have a solid grasp of the primary concepts of Python, including:

     • Data structure
     • Data types and variables
     • File handling
     • Exception handling
     • Object-oriented programming
       • Bottle
       • Flask
       • Web2Py
     • Core Python 3.11+: Pattern matching, TOML support for configs, exception groups.
     • Memory Management: Knowledge of PEP 709 (inlined comprehensions) and tracemalloc for debugging leaks.
   • Knowledge of Python frameworks

     Python frameworks speed up the web development process. The frameworks achieve the same by eliminating the need to worry about low-level aspects including threads, sockets, and protocols.

     A dedicated Python Coder must know the crucial Python frameworks such as:

     • Bottle
     • Flask
     • Web2Py

     A great Python developer can quickly develop a web app prototype with Python frameworks as the developer won't have to type repeated code.

   • Knowledge of Python libraries

     Python offers over 267,000 projects. Thus, it’s highly likely whatever the developers strive to create is already present in the libraries with enough documentation.

     A skilled Python developer will easily find, study, and implement packages present in the Python ecosystem with ease. Furthermore, the developers will use the active community to receive help from developers around the world as well.

     Before hiring a top Python programmer, you must ensure they're technically sound. Here are 5 questions for you to judge the interviewees' technical knowledge.

2. 5 Technical interview questions, before you hire Python developers

   • How do you manage memory in Python?

     A good Python developer would know the Python Memory Manager stores memory in the form of private heap space. A skilled Python developer will also mention that the private heap space is inaccessible even to the programmer.

     Furthermore, a skilled Python coder will know that Python offers an in-built garbage collection for recycling the unused memory of the Python private heap space.

   • What’s PEP 8, and why is it essential?

     A good Python developer will know PEP or Python Enhancement Proposal is an official design document. Furthermore, the developer should broaden the area they cover with their answer by saying PEP offers information to the Python community or describes a new feature and its processes.

     Furthermore, the best Python programmers will know PEP 8 documents the style guidelines for Python code. They will tell you that you must follow the style guidelines to the T to contribute to the Python open-source community.

   • How would you sort a dictionary in Python?

     When you hire a remote Python developer, you'd want them to work autonomously. This question will elicit a response that lets you judge the thinking ability of a developer. The answer will reveal whether a Python expert knows the use of the sorted() function to sort a dictionary.

     A skilled developer will tell you the method inspects three parameters — object, key, and reverse. The developer should know the object parameter is mandatory while the key and reverse parameters are optional. Furthermore, an excellent Python developer will know the sorted() function helps to sort any iterable objects by a key, including tuples and lists.

   • What’s a dynamically typed language?

     A skilled developer will tell you data types that are checked during execution are dynamically typed languages.

     The goal of the question is to assess whether the expert knows Python is an interpreted language. Thus, executes each sentence line by line and performs type-checking on the fly. That’s why Python is a dynamically typed language.

   • What’s the scope in Python?

     A skilled developer will know a scope is a block of code where an object in Python remains irrelevant. Furthermore, the developer should know every object in Python functions within a scope.

     An excellent developer will also tell you namespaces to uniquely identify each object inside a program. The developer will know these namespaces have a defined scope for them where you can use their objects without any prefix.

     Along with the technical questions, ask the interviewee 5 exploratory questions to assess their mindset and ability to spot and solve problems, among other skills.

   • How would you use Python 3.11’s structural pattern matching to refactor legacy code?

     A strong candidate might explain using match/case to simplify nested if-elif conditions, e.g., refactoring API response handling or data validation logic.

     Compare FastAPI and Django REST for building microservices.”

     Look for answers highlighting FastAPI’s async support (ideal for high-throughput APIs) vs. Django REST’s ORM and admin panel (better for monolithic apps with CRUD-heavy workflows).

   • Explain how LangChain integrates with OpenAI for AI workflows.

     A skilled developer should describe using LangChain’s chains to orchestrate prompts, memory, and tools (e.g., building a customer support chatbot with retrieval-augmented generation).

3. 5 Exploratory interview questions to ask to hire Python developers

   • Can you remember a failed programming project decision you made? Why was it a mistake? What did you learn from the experience?

     The goal of the question is to analyze how the developer figured out the decision was wrong. Furthermore, focus on how the developer corrected the mistake and how the lesson changed their approach in future projects.

     If you’re satisfied with their answer, that’s a good reason to hire those Python developers.

   • Pretend I’m not a tech person. Explain Python in simple terms to me.

     You’re a tech expert. However, the client won’t necessarily be one. Thus, the Python developer must convince the clients of the benefits of Python.

     Furthermore, being able to explain such a complex subject in simple terms shows how well the developer understands Python.

   • Share a time when you were in conflict with a colleague and how the situation was resolved.

     The goal of the answer is to assess the ways a Python developer takes to resolve conflicts. A skilled employee will be firm about the argument they’re making while being respectful to their colleague.

     Furthermore, resolving conflicts showcases the developer’s leadership skills as well.

   • What’s the most complex thing you know a lot about? Tell me about it.

     The answer will show you the depths of the developer’s knowledge. The deeper the knowledge, the better the developer.

     Furthermore, focus on the way the developer explains the topic. The developers should be able to explain the complex topic in simple terms.

   • How would you implement an unpopular plan you made?

     The answer will show the developer’s ability to offer a logical argument, convince people, and stand by their decisions.

   • Modern Python Stack
     • Frameworks: FastAPI (async), Django 5.0 (model field improvements), and Quart (async Flask alternative).
     • AI/ML Tools: PyTorch Lightning for scalable training, OpenAI SDK for LLM integration, and Hugging Face Transformers.
     • Performance: Using PyPy for CPU-bound tasks or Cython to compile critical code sections.
     • Tooling: Poetry for dependency management, Ruff for lightning-fast linting, and Prefect for workflow orchestration.

1. Python with Django Development

   Hire Offshore Python programmers who are known to develop performant applications using the Django framework. It should be your best bet if you're implementing multiple out-of-the-box features but still maintaining security.

2. Python with Flask Development

   Our Python Developers will build and scale your web application using Flask. This lightweight micro-framework works as an effortless solution that allows freedom to choose design patterns, databases, or tools.

3. Python with Bottle Development

   The Python engineers at Uplers recommend using this framework when building more complicated and bigger apps that cannot be easily integrated into a standard ORM or demand to interoperate with templating systems.

4. API Development

   Our Python Developers behold expertise when it comes to developing APIs with the Django REST Framework or FastAPI for modern, async-ready endpoints. Building APIs that enable seamless communication between programs can help you get the most from your microservices.

   Our developers build gRPC microservices with Python’s grpcio library for low-latency communication between IoT devices.

5. Migration to Python

   Utilize our top-of-the-line expertise to seamlessly migrate your existing website, web apps, or mobile apps hosted on .Net, PHP, or Java to Python with all the technical edge that comes with it.

6. Custom Python Development

   Our team of remote Python developers would integrate their skills and expertise with other business functions to create an elegant and custom solution that perfectly meets your unique and business-centric requirements!

7. Modern Python Frameworks & Tools for 2024

   Stay ahead of the curve with these cutting-edge frameworks and tools:

8. Async Frameworks:

   • FastAPI: Ideal for high-performance APIs with built-in async support (e.g., real-time chat apps or financial trading platforms).
   • Quart: A Flask-compatible async framework for WebSocket-driven applications like live dashboards.
   • Sanic: Lightning-fast HTTP server for microservices requiring sub-millisecond response times.

9. MLOps & AI Orchestration:

   • MLflow: Track machine learning experiments, log parameters, and deploy models seamlessly.
   • Kubeflow: Orchestrate end-to-end ML pipelines on Kubernetes (e.g., automated model retraining).

10. IoT & Embedded Systems:

    • MicroPython: Develop lightweight firmware for Raspberry Pi Pico projects, such as sensor data collection or smart home automation.

    Python Stack for AI & Scalability

11. Real-Time APIs:

    Use FastAPI + WebSockets for live dashboards (e.g., stock trading platforms).

    Deploy with Uvicorn or Daphne for async performance.

12. AI Agents:

    Build RAG (Retrieval-Augmented Generation) systems with LangChain + OpenAI.

    Example: “Developed a document Q&A bot using LangChain’s RetrievalQA chain and FAISS vector stores.”

13. Cloud-Native Microservices:

    Combine Django + Kubernetes for auto-scaling (e.g., e-commerce APIs handling Black Friday traffic).

    Use gRPC for inter-service communication or GraphQL (via Strawberry) for flexible queries.

These experts can navigate the complexities of the present digital challenges and foster innovation. This is possible with Python’s extensive libraries and frameworks, such as Django and Flask for web development, Pandas and NumPy for data analysis, and other robust tools.

Python is a versatile pick that can devise scalable, efficient, and agile solutions to remain competitive. Additionally, Python developers can also automate mundane tasks, create scalable applications, and analyze large data sets for actionable insights by creating customized solutions.

If you are wondering who hires python programmers they are a sought after choice for a wide range of industries due to the versatility of the framework in web development, data analysis, artificial intelligence, automation, and more. Tech companies looking to develop software solutions or machine learning applications frequently hire Python developers. Industries like finance, healthcare, e-commerce, and education are also increasingly turning to Python for data-driven insights and system automation. From startups to large enterprises, Python programmers are a top pick for leveraging technical expertise in solving complex problems.

Python developers can address the following evolving business needs:

1. Data Analysis and Machine Learning

   Data is regarded as the fuel for business success as it can help extract valuable insights. When you hire Python developers they are skilled in libraries like Pandas, Scikit-learn, and NumPy that can help analyze data for informed decision-making.

   Additionally, Python developers can also predict trends and automate decision-making processes via machine learning technology. Deploy LLMs like Llama-3 via FastAPI endpoints with quantization for edge devices. Use Kubeflow to automate model training/scaling on AWS SageMaker or GCP Vertex AI.

2. Web development

   You can expect the development of dynamic and creative websites and applications. Python developers utilize frameworks like Django, Flask, and Pyramid to customize web development. They can also facilitate easy integration with databases and API utilization to foster the development of complex and data-driven sites tailored to your business needs.

3. IoT and Embedded Applications

   With the expanding demand and usage of the Internet of Things (IoT), the demand to hire Python developers will keep accelerating. They can create and manage embedded applications with various hardware and simplicity, making Python an excellent choice for the development of IoT solutions.

   With the expanding demand and usage of the Internet of Things (IoT), the demand to hire Python developers will keep accelerating. Developers use MicroPython to program low-power devices like Raspberry Pi Pico for real-time sensor data collection (e.g., smart farming systems monitoring soil moisture). Build wearable health trackers with CircuitPython and Bluetooth LE for heart-rate monitoring.

4. Automation and Scripting

   Repetitive tasks can feel monotonous and can consume valuable time that can be better spent on strategic planning and other fruitful activities. Python developers automate these tasks to improve efficiency and accuracy. Be it data entry automation or software testing, automation can drastically reduce the workload on the team with an agile development speed.

   Invoice processing workflows are automated using Robot Framework with Python libraries for PDF extraction and ERP system integration. Additionally, orchestrate ETL pipelines with Prefect for error handling and Apache Airflow for scheduling.

5. Streamlined product development cycles

   To steer a competitive edge you need to launch your products to the market faster but in a cost-effective way. This is where Python developers can step in. When you hire Python developers they can prove to be a valuable resource for reducing the development time with uncompromised quality.

   Python developers agility allows businesses to respond quickly to market changes and customer feedback by adopting an iterative and innovative approach to product development.

6. Driving digital transformation and initiatives

   For companies that are looking to drive their digital transformation initiatives, Python can be an ideal choice due to its versatility. Python developers lead the way by automating simple internal processes to complex operations. Businesses can significantly reduce room for manual errors and free their workforce to pay attention to more strategic tasks for enhanced business productivity and operational efficiency.

   Therefore, the decision to hire Python developers is an investment that can translate your business requirements into technical solutions that are functional, scalable, and maintainable. Identifying and hiring the right professionals can be daunting but talent networks like Uplers can simplify it for you.

   We are here to ensure seamless and hassle-free remote recruitment at up to 40% cost-saving. Need Python developers skilled in LangChain, FastAPI, and MLOps? Uplers delivers pre-vetted experts in 7 days. Book a Call to hire top 3.5% talent!

7. Uplers’ 2025 Python Hiring Edge

   Vetted Expertise: Developers tested on FastAPI, LangChain, and Python 3.11 features.

   Metrics: 70% faster hiring cycle, 40% cost savings vs. local hires.

8. Python Use Cases:

   Web Development: Django 5.0 for admin-heavy apps (e.g., healthcare portals).

   Automation: Prefect for ETL pipelines or Airflow for scheduling.

   Data Analysis: Polars for large datasets and DuckDB for embedded analytics.