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Python Backend Developer United Kingdom Jobs

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Python Software Developer - Backend
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Join Xelix as a Python Backend Developer in London. Build robust, scalable solutions using Python and Django REST Framework for AI-driven financial automation. Enjoy hybrid work, a dog-friendly office, private medical cover, and 27+ days of leave. Ideal for developers with 4+ years of Python expe...
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United Kingdom , London
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60000.00 - 80000.00 GBP / Year
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Xelix
Expiration Date
Until further notice
Senior Python Software Developer - Backend
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Join Xelix as a Senior Python Backend Developer in London. Build robust, scalable solutions using Python, Django, and AWS for AI-driven financial platforms. Enjoy hybrid work, private medical cover, and a dog-friendly office. Shape intelligent workflows with a talented team.
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United Kingdom , London
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70000.00 - 80000.00 GBP / Year
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Xelix
Expiration Date
Until further notice
Python Backend Developer jobs represent a cornerstone of the modern digital economy, focusing on building the server-side logic, databases, and application programming interfaces (APIs) that power websites, mobile apps, and software services. Professionals in this role are the architects of the unseen infrastructure, ensuring data flows securely, processes run efficiently, and systems scale to meet user demand. Their work is critical in translating business requirements into robust, high-performance technical solutions that form the backbone of everything from e-commerce platforms and social networks to data analytics engines and financial technology applications. A Python Backend Developer's typical responsibilities are centered on creating reliable and scalable systems. This involves designing and developing server-side applications, crafting and maintaining RESTful or GraphQL APIs for front-end clients to consume, and managing data storage and retrieval through databases. They write clean, maintainable code to implement business logic, integrate with third-party services, and automate complex workflows. A significant part of the role is also dedicated to ensuring system integrity through practices like writing comprehensive unit and integration tests, conducting code reviews, and optimizing application performance and database queries. Furthermore, they collaborate closely with front-end developers, product managers, and data scientists to deliver cohesive features and continuously improve the product. The skill set for these jobs is both deep in Python expertise and broad in software engineering principles. Core technical proficiency includes advanced Python programming, often utilizing frameworks such as Django, Flask, or FastAPI to accelerate development. A strong understanding of relational databases (e.g., PostgreSQL, MySQL) and proficiency in SQL is essential, with knowledge of NoSQL databases and caching systems (like Redis) being highly valuable. Developers must be adept at designing and consuming APIs, implementing authentication and authorization mechanisms, and understanding fundamental system design concepts related to scalability, reliability, and security. Experience with version control (Git), containerization (Docker), and cloud platforms (AWS, GCP, Azure) is increasingly standard. Beyond technical skills, successful candidates demonstrate strong problem-solving abilities, a methodical approach to debugging and optimization, and effective communication skills to collaborate within a team and explain technical concepts to non-technical stakeholders. Exploring Python Backend Developer jobs opens a pathway to a career focused on solving complex, real-world problems through elegant engineering. Whether you are an experienced developer or building your foundational skills, this profession offers the opportunity to work on impactful projects, continuously learn emerging technologies, and play a pivotal role in shaping the digital experiences of tomorrow. The demand for these skills remains high across industries, offering diverse opportunities to specialize in areas like data-intensive applications, microservices architecture, or machine learning integration.

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