Software Engineer

November 7, 2026

Office

Junior

London, United Kingdom

Indeed

Keep in mind

Office-only work

Description

A fast-growing, research-driven company building artificial intelligence that helps online publishers overcome daily challenges, with leading titles such as The Times, Le Monde and The Guardian relying on the product. The Software Engineer will work closely with the Product team and Data Scientists to define and execute the future path of the products. The role covers designing, building and maintaining scalable back-end services, writing clean code and improving performance, reliability and scalability.

Responsibilities

Design, build and maintain back-end services and systems that support AI-powered products whilst meeting launch deadlines
Develop and optimize scalable, high-performance systems to support large volumes of data and machine learning models
Write clean, efficient, and maintainable code while following best practices and coding standards
Contribute to the deployment and integration of back-end services with front-end and data science systems
Help improve the architecture and functionality of back-end systems focusing on performance, reliability, and scalability
Assist with debugging and troubleshooting technical issues, providing solutions to enhance system performance
Collaborate with cross-functional teams to identify system needs and contribute to continuous improvements
Continuously learn and apply new technologies and techniques to improve back-end infrastructure and processes

Requirements

A degree in Computer Science, Engineering, or a related field or equivalent practical experience
1-2 years of experience in back-end development or related field with a focus on server-side technologies
Strong knowledge of programming languages such as Python, Java, or Node.js and experience with back-end frameworks
Familiarity with databases (SQL and NoSQL) and experience in building and optimizing data storage solutions
Understanding of RESTful APIs, microservices architecture, and best practices for back-end development
Familiarity with version control systems such as Git
Experience working with cloud platforms (AWS, GCP, or Azure) and deploying applications in a cloud environment
A proactive, results-driven mindset with the ability to work independently and learn quickly
Experience in a fast-paced SaaS or tech environment focusing on building and scaling back-end systems
Understanding of security best practices for back-end development
Knowledge of machine learning concepts and the ability to collaborate with data scientists to optimize AI models
Strong communication skills and the ability to work effectively within cross-functional teams