Senior Python Developer (IR-446)

Overview Senior Python Developer (IR-446) role at Intellectsoft. Intellectsoft is a software development company delivering innovative solutions since 2007, operating across North America, Latin America, the Nordic region, the UK, and Europe.

Responsibilities Develop, maintain, and optimize backend services and APIs using Python, ensuring high performance and scalability

Design and implement data processing pipelines to handle large volumes of data efficiently

Collaborate with cross-functional teams to understand client needs and translate them into practical features

Write clean, testable, and maintainable code, following best practices and coding standards

Ensure code quality through code reviews, unit testing (using Pytest), and integration testing

Implement and maintain CI / CD pipelines, and ensure smooth deployment processes

Integrate and manage cloud-based solutions and infrastructure (e.g., AWS, Azure, GCP)

Utilize DevOps tools and practices for containerization and orchestration (Docker, Kubernetes)

Monitor application performance, identify bottlenecks, and implement improvements

Participate in team meetings, providing updates on progress and discussing upcoming tasks

Utilize issue tracking and version control systems (like Git) to maintain high-quality software development processes

Stay updated on the latest technologies and apply innovative solutions where applicable

Engage in ML-focused tasks as part of responsibilities where applicable

Requirements 7+ years of experience in backend software development with a focus on building scalable and maintainable solutions

Strong programming skills in Python, with a deep understanding of writing clean, efficient, and well-structured code

Experience with web frameworks, including FastAPI and developing RESTful APIs

Proficiency in version control using Git and maintaining structured pull requests

Test-Driven Development (TDD) experience : writing unit tests with Pytest and implementing integration tests to ensure robustness and reliability

Experience with CI / CD pipelines and automated deployment practices

Familiarity with DevOps concepts, including containerization (e.g., Docker), orchestration (e.g., Kubernetes), and cloud infrastructure management (AWS, Azure, GCP)

Experience in data engineering within Big Data ecosystems, including data pipelines and data integration

Solid understanding of software architecture and system design for high-availability applications

Knowledge of fundamental computer science concepts, including data structures, algorithms, and problem-solving

Excellent communication skills and ability to work collaboratively within cross-functional teams

Proficiency in English, both written and spoken

Asynchronous programming skills

Architectural thinking : ability to design services

Good OOP and design patterns knowledge

Experience with OOP languages : C++, C# or Java

SQLAlchemy experience

Nice to have skills Experience with Machine Learning (ML) : deploying and managing models, creating inference pipelines, and ML Ops practices

Knowledge of ML platforms such as Airflow, SageMaker, Kubeflow, or MLFlow

Experience with distributed computing (e.g., Spark / PySpark)

Understanding of cloud ML deployment and model serving on platforms like AWS, Azure, or GCP

Experience with Large Language Models (LLMs), model fine-tuning, and Retrieval-Augmented Generation (RAG) pipelines

Experience in developing enterprise-grade applications that leverage data-driven decision-making

Nice-to-Have Responsibilities (ML Focus) Develop, refine, and utilize ML engineering platforms and components as needed

Establish and manage processes for data preparation, feature engineering, and prediction

Closely monitor model performance and address any issues that arise

Explore opportunities to integrate ML workflows into backend systems when it adds value

Stay informed about ML Ops practices and maintain pipelines for training and inference

Benefits 35 absence days per year for work-life balance

Udemy courses of your choice

English courses with native-speaker

Regular soft-skills trainings

Excellence Centers meetups

Online / offline team-buildings

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