About the role We are looking for a Full Stack Engineer to join our Data Engineering team. The team is passionately focused on helping our internal customers, particularly our machine learning and AI teams, interface with our rich data services using robust and performant APIs, data pipelines and front-end interfaces. Responsibilities, Duties and Expectations Build new features and capabilities daily in a complex AI microservices and MLOps environment Collaborate with other engineers and designers between AI, frontend, backend Write and review code with best practices of readability, testing patterns, documentation, reliability, security, and performance considerations in mind Drive strong outcomes around test driven development to enhance API product quality and performance Own an Agile development mindset, appreciating the benefit of constant improvement, and participating in rituals such as daily stand-ups, sprint planning, team retrospectives, backlog grooming Ensure software is designed for reliability, and performance on resource constrained targets Provide technical guidance and mentorship to team members Collaborate with multi-disciplinary teams to deliver on user and business requirements Take operational responsibility for the services and code base that you will develop Qualifications, Experience and Skills BS/MS in Computer Science, Software Engineering, or equivalent practical experience Between 3 and 5 years’ experience in software engineering Experience in TypeScript, ideally React Experience building APIs with Python (FastAPI, Django REST Framework), NodeJS and/or Golang Strong understanding of REST APIs and backend coding best practices Familiar with Docker, Postman, GitLab, Kubernetes Experience working with modern infrastructure and tools Experience working in Linux environments Experience in sound engineering practices like continuous delivery and automated testing Demonstrated passion for collaboration and strong interpersonal and communication skills What Sets You Apart Experience working closely with ambiguous and complex customer requirements, being able to navigate uncertainty, to develop high quality and innovative solutions Experience working in application development in a medium-large scale SaaS organisation Application development with cross-cutting concerns (logging, persistence, security, configuration management, transactional behaviour) Development tools including Git, Jira, Confluence Experience with machine learning model development, lifecycle and MLOps Experience developing data intensive web applications Comfortable on the command line in a Linux first environment Note for recruitment agencies: we do not accept floated candidates from external recruiters unless they were instructed to do so.