Graduate Cloud & AI Engineer (AWS)

team, you will help translate real business problems into robust technical solutions and learn what it means to build production-ready software in the cloud. Responsibilities: Take part in the end-to-end software development lifecycle, from ideation and design through to build, testing, deployment and operation Contribute to the development of cloud-native applications on AWS, learning how to design scalable, reliable and cost-effective systems Assist in building AI-enabled and agentic solutions, such as intelligent assistants, workflow agents and automation components, under the guidance of senior engineers Learn how to integrate AI services, APIs and models responsibly, with attention to security, data privacy and governance Work across front-end and back-end components, gradually owning features as your confidence grows Use AI-assisted development tools (for example for code generation, testing, refactoring and documentation) as part of your day-to-day engineering workflow Gain

experience with CI/CD pipelines, infrastructure as code and automated testing, embedding quality and repeatability into delivery Learn and apply a security-by-design and privacy-by-design approach, particularly when working with AI and automation About the candidate: A minimum 2.1 degree in Computer Science, Software Engineering or a related subject An understanding of Agile software delivery principles (through university projects or placements) Exposure to front-end technologies such as HTML5, CSS3 and JavaScript, with awareness of frameworks like React or Angular Experience with at least one programming language, such as Java, .NET, Python or Ruby An interest in cloud computing, AI and automation, and how intelligent systems can enhance applications Basic knowledge of databases (SQL or NoSQL) and data concepts Awareness of UI/UX fundamentals and user-centred design Familiarity with Linux environments and web servers (e.g. Nginx or Apache) is beneficial but not required Strong communication skills and enthusiasm for collaborative problem-solving Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skin colour, marital status or parental status or any other characteristic protected by the Law. Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.", "salary_raw": "Row(double=None, string=None)"}

{"description": " Graduate Cloud & AI Engineer (AWS) About Storm Reply: Storm Reply is the Reply Group company specialised in the design and implementation of innovative Cloud-based solutions and services. Through consolidated expertise and many years of experience in the creation and management of Infrastructure as a Service (IaaS), Software as a Service (SaaS), and Platform as a Service (PaaS) Cloud solutions, Storm Reply supports important companies in Europe and all over the world in the implementation of Cloud-based systems and applications. Storm Reply is Amazon Web Services Premier Consulting Partner since 2014, one of the best Amazon Partners in the world, and one of the few companies to have so many different competencies attested by AWS: Financial Services, Security, Machine Learning, SaaS, Data & Analytics, DevOps, Industrial Software, IoT, Migration, Oracle. Storm Reply is also a partner for AWS Managed Service Provider program since 2013 and AWS Well-Architected program since 2018. Role Overview: This is an exciting opportunity for a recent graduate to launch their software engineering career in a supportive, fast-growing cloud consultancy. You will join a collaborative team where you will be coached by experienced engineers and progressively given more responsibility as you develop your skills.You will work across the full technology stack to design and build modern cloud-native applications on AWS , including digital platforms, portals and APIs for desktop and mobile users. A key part of the role will be learning how to build intelligent, AI-enabled features , including agentic AI solutions that can reason, automate tasks, orchestrate workflows and interact with systems in a secure and scalable way. You will gain hands-on experience using AWS native services , modern development patterns, and AI-assisted engineering tools , while also being encouraged to explore open-source frameworks and libraries where appropriate. With guidance from your