About Xelix We’re Xelix, an AI-powered Control Centre for Accounts Payable teams. We work with some of the largest global companies to automate and enhance their financial control processes. At the heart of our product, we leverage machine learning techniques developed by our AI Engineering team to provide a more sophisticated offering than existing solutions. Things are going really well for us - we raised our Series A funding round from top investors, we’ve grown our team to almost 100, and we’ve won industry awards for our products. About the Role We're seeking smart Python developers to join our back-end development team. We are recruiting at various levels from Computer Science graduates to those with several years coding experience. This is a varied and challenging programming role. Tasks could include writing code to manage incoming data, working with AI Engineers to analyse huge data sets, or writing Restful APIs in Django to support the React front end. Our ideal candidate takes pride in their work – producing clean, tested, beautiful code. Rather than give you a detailed set of requirements, we encourage engineers to take responsibility for solving the problem. There are many opportunities to innovate as you collaborate with stakeholders to design and implement new features. You will be well supported to continue your professional development. This includes an annual conference allowance, a budget for books and a monthly session with your manager to identify and track your learning goals. As Xelix continues to grow opportunities for you to develop your career becoming a Team Lead, Project Lead or Staff Engineer could be available to the right candidate. Responsibilities Implementing robust and scalable solutions in Python. Developing, using and designing REST APIs to efficiently deliver application components. Implementing performance improvement strategies. Ensuring the quality of code by writing comprehensive tests and participating in code reviews. Requirements Python coding experience Familiarity with coding in Python, Django and the Django Rest Framework Ability to learn and apply new technology quickly Ability to effectively communicate complex technical concepts to team members and stakeholders. Desirable Degree in Computer Science (or similar), at 2:1 or above Amazon Web Services SQL / PostgreSQL Build pipeline and CI with GitHub, Jenkins, Docker, Terraform Why Join Us? At Xelix, we believe that happy employees create better outcomes—for both our customers and our business. Here’s what we offer: A competitive salary of £55,000.00 to £70,000.00 depending on experience ️ 27 days of annual leave (including 3 days Christmas closing), with the option to roll over 3 days Hybrid working model with two days a week at our dog-friendly Hoxton office with an on-site gym Comprehensive private medical & dental cover £500 annual learning & development budget 2 additional ‘Learning Leave’ days per year We’re carbon-neutral and committed to ambitious sustainability goals Monthly socials, team activities, and an annual retreat What Makes Xelix Unique? We’re proud of our collaborative culture where everyone has a voice. At Xelix: We prioritise productivity without sacrificing quality. We encourage proactive leadership at every level. We hold ourselves and each other to high standards while supporting continuous improvement. We value authenticity—no egos here If this sounds like your kind of workplace, we’d love to hear from you Want to learn more? About us Xelix blog Xelix news Xelix glassdoor We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate If you're a recruiting agency - we have an existing list of agencies we work with and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach.