Echobox
Senior Software Developer
Senior back-end developer builds and scales AI-powered publishing tools in Python/Java/Node.js, working with cloud platforms and data science teams to deliver high-performance services.
- Compensation
- Not disclosed
- Location
- United Kingdom, London, United Kingdom of Great Britain and Northern Ireland
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Software engineering
- Posted
Skills
Must have
- A degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
- 3-5 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 passion for solving problems with technology and working to deliver efficient, scalable solutions.
- A proactive, results-driven mindset with the ability to work independently and learn quickly.
Nice to have
- 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.
Full description
About Echobox:
We are a fast-growing, research-driven company building an artificial intelligence that helps online publishers overcome the challenges they face every day. Using novel AI, we are revolutionising the publishing industry and have a track record of building things that others have ruled out as impossible. Leading names from around the world rely on our product every day, including The Times, Le Monde, The Guardian, Vogue and many more.
About the Role:
You will work closely with our Product team and Data Scientists to define and execute on the future path for our products.
Key Responsibilities:
- Work closely with senior engineers to design, build, and maintain back-end services and systems that support our AI-powered products, all whilst meeting launch deadlines.
- Assist in the development and optimization of 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, ensuring that they work seamlessly with front-end and data science systems.
- Help improve the architecture and functionality of our 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).
- 3-5 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 passion for solving problems with technology and working to deliver efficient, scalable solutions.