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Attero Recycling

Posted 27 Aug 2026

Senior Python Developer

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Employment
Full time
Team
Software Engineering
Posted
27 Aug 2026

About the role

We are seeking an experienced Python Developer with 5-6 years of proven expertise in designing, developing, and deploying scalable applications. The ideal candidate should have strong problem-solving skills, hands-on experience with modern frameworks, and the ability to collaborate with cross-functional teams to deliver high-quality software solutions.


Responsibilities:

  • Design, develop, test, and maintain efficient, reusable, and reliable Python code.
  • Build and optimise backend services, APIs, and integrations with third-party systems.
  • Collaborate with front-end developers, product managers, and QA teams to ensure seamless functionality and performance.
  • Implement data storage solutions using SQL/NoSQL databases.
  • Ensure application performance, scalability, and security.
  • Troubleshoot, debug, and upgrade existing systems.
  • Stay updated with emerging technologies and contribute to continuous process improvement.


Requirements:

  • 5+ years of professional experience as a Python developer or in a similar role.
  • Strong expertise in Python (3x) and popular frameworks (e. g., Django, Flask, and FastAPI).
  • Solid understanding of RESTful APIs, microservices architecture, and web technologies.
  • Experience with databases: SQL (MySQL/PostgreSQL) and NoSQL (MongoDB, Redis).
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and deployment pipelines (CI/CD).
  • Strong understanding of data structures, algorithms, and OOP concepts.
  • Proficiency with version control systems (Git) and Agile methodologies.
  • Ability to write clean, scalable, and maintainable code with proper documentation.
  • Excellent analytical, problem-solving, and communication skills.
  • Bachelor's or master's degree in computer science, engineering, or a related field.


Good to Have:

  • Knowledge of Docker, Kubernetes, or containerised deployments.
  • Experience with machine learning libraries (Pandas, NumPy, TensorFlow, PyTorch) or big data tools.
  • Exposure to front-end technologies (React, Angular, or Vue.js ).

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