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Senior Python Developer (IR-446)

Senior Python Developer (IR-446)

Intellectsoft, , Spain, España
Hace más de 30 días
Descripción del trabajo

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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    Senior Python Developer • , , Spain, España