Senior Software Engineer

Brighton
2 days ago
Create job alert

Senior Software Engineer

Hybrid working - 2 days per week in office in Brighton, 3 days per week remote

Salary to up £75k plus excellent benefits

My client are a leading Digital eCommerce company who have their main development team based in Central Brighton. This company are looking for a Senior Software Engineer with a background in Python (or similar language Java, C++, Node.js/TypeScript, C# or PHP) to join their team. This role is working remotely and with 2 days per week in their beautiful, hi-tech Brighton offices.

They are looking for a Senior Software Engineer with a strong OO development background, with also strong skills in TDD and understanding of Solid Principles and development design patterns

They are happy to consider good software engineers with a background in OO development using technologies like Java, PHP, C#,, Node.js or similar development language if Python is not your main skill to join their team.

In this role you will be building Python server applications in a service-oriented architecture and deploying them to Kubernetes. So a desire to upskill and work with Python and JavaScript is essential in this role

A keen investment in technology is at the forefront of this company’s mission with a clear vision of what their eCommerce products should be. They take a cloud native approach to development and infrastructure with lots of room for experimentation and improvement. They pride themselves in fostering a culture of quality and openness within the team.

This role is based two days per week in their high-tech offices in Brighton, with a team of co-located skilled engineers and product professionals.

Key Responsibilities:

  • Design and implement Python web services in Django and Flask

  • Maintain and extend existing Python web services based on new feature requirements and business needs

  • Collaborate with Frontend Engineers and Test Automation Engineers to ensure integrations with APIs are correct and complete

  • Document your APIs so they can be consumed downstream by the Frontend and Test Automation teams as well as Data Analytics teams.

    Skills and experience in some of the following would be ideal:

  • Strong experience with a language like Python or Java, C#, PHP, Node.js, JavaScript or similar

  • Back end development focused experience.

  • Willingness to learn Python and develop in a TDD and OO development environment.

  • Experience managing Git workflows

  • Understanding of Relational Databases, PostgreSQL, MySQL or similar

  • Experience with Docker both building and running images

  • Experience working in an Agile / Scrum team

  • Comfortable with working outside of your main discipline in order to collaborate across your Scrum team

    This is a very exciting software engineering role and will suit a Senior Software Engineer who has a strong love of open source technology and would like to work for a genuinely innovative and caring technology company.

    Please send your CV for immediate interview

Related Jobs

View all jobs

Senior Software Engineer

Senior Software Engineer Technical Lead

Senior software engineer - Qt, C++, Linux

Senior Software Engineer and Team Leader

Senior BI Developer - Edinburgh/Glasgow Hybrid - 52K plus Bonus

Senior Engineer - Portal

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.