Hire Python Developers: Top 5% Global Talent

Tech stack: Python, Flask, JavaScript, React, Redux, React Native, Angular, Next.js, Node.js, MongoDB, MySQL, PostgreSQL, Docker, AWS

A skilled full-stack developer with 4 years of experience in Python and JavaScript technologies. Builds end-to-end web applications with Flask, React, Redux, Next.js, and Angular, as well as mobile solutions with React Native. Has extensive expertise in developing REST APIs for front-end consumption. Has experience implementing responsive UI components and managing state in single-page applications.

Tech stack: Python, Django, PostgreSQL, Redis, Celery, Docker, AWS, Git, Jenkins, SQLAlchemy, pytest, SQLite, MySQL, FastAPI

A Python backend developer with 7 years building server-side systems for SaaS platforms. Designs RESTful APIs and manages relational database schemas using Django ORM and raw SQL. Implements caching strategies with Redis and handles background job processing through Celery workers.

Comfortable setting up CI/CD pipelines with Jenkins. Also, can deploy containerized applications on AWS infrastructure. Has experience optimizing query performance and refactoring codebases.

Tech stack: Python, AWS, Docker, Kubernetes, Jenkins, GitLab CI, Terraform, Bash, Git, Ansible, Zabbix, Grafana

A DevOps engineer with 4 years of experience. Automates infrastructure provisioning and cloud resource management using Python scripts. Writes serverless functions with AWS Lambda to handle event-driven workflows and integrates AWS services. Develops CI/CD pipelines in Jenkins and GitLab CI. Manages Docker container orchestration with Kubernetes.

Tech stack: Python, TensorFlow, PyTorch, OpenCV, scikit-learn, Pandas, NumPy, LangChain, XGBoost, spaCy, AWS, Docker

A Python machine learning engineer with 7 years of experience. Builds and deploys machine learning models for predictive analytics and recommendation systems. Handles feature engineering and data preprocessing with Pandas and NumPy, and trains algorithms with TensorFlow and PyTorch.

Optimizes model performance through hyperparameter tuning and manages experiment tracking. For the last few years, has been working with LLMs and generative AI models (prompt engineering, vector databases, RAG systems). Also, has a background in commercial projects with computer vision and image processing.

Tech stack: Python, Django, Flask, JavaScript, TypeScript, React, Vue, PostgreSQL, Docker, Docker Compose, AWS, Redux, Redis, MongoDB, MySQL, ElasticSearch, SQLAlchemy

A Python programmer with a focus on full-stack web development with Django and React/Vue. Writes RESTful APIs for front-end applications and ensures efficient database interactions using Django ORM and optimized SQL queries. Implemented state management in client-side apps with Redux and used Vue and TypeScript to visualize data analytics.

Tech stack: Python, NumPy, Pandas, Django, PostgreSQL, MySQL, Tensorflow, Jupyter Notebook, pytest, Matplotlib, SciPy, FastAPI, RabbitMQ, Docker

A Python Quantitative Developer with 5 years of experience building software for financial analytics. Has a background in quantitative finance software and analytics platforms for trading and risk assessment. Implements financial models using NumPy and Pandas. Develops backend systems with Django to expose analytics tools through web interfaces.

Tech stack: Python, Apache Spark, PySpark, Apache Airflow, SQL, PostgreSQL, MongoDB, Pandas, MySQL, Oracle, MariaDB

A data engineer with 6 years of commercial experience. Develops scalable ETL pipelines for data warehousing and analytics systems. Uses Apache Spark for distributed data processing and Apache Airflow to orchestrate complex data workflows. Writes SQL transformations for data cleansing and validation. Works with both relational databases (e.g., PostgreSQL, MariaDB, MySQL) and NoSQL solutions (MongoDB) for varied storage needs.