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- Tasks: Transform real business challenges into innovative cloud solutions and build production-ready software.
- Company: Join Storm Reply, a leading cloud consultancy with a collaborative culture.
- Benefits: Competitive salary, mentorship from experienced engineers, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace committed to equal opportunities.
- Why this job: Kickstart your career in cloud computing and AI while making a real impact.
- Qualifications: 2.1 degree in Computer Science or related field; programming experience; passion for cloud and AI.
The predicted salary is between 28000 - 35000 ÂŁ per year.
Join our 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.
Qualifications
- 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.
About the Company
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.
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.
Graduate Cloud & AI Engineer (AWS) in City of Westminster employer: Reply Ltd
Contact Detail:
Reply Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Cloud & AI Engineer (AWS) in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to your university alumni or connect with professionals on LinkedIn. A friendly chat can open doors and give you insights into the company culture.
✨Tip Number 2
Prepare for those interviews! Research common questions for cloud and AI roles, and practice your answers. We recommend using the STAR method to structure your responses – it really helps!
✨Tip Number 3
Show off your projects! Whether it's a uni assignment or a personal project, be ready to discuss what you've built. Highlight how you tackled challenges and what you learned along the way.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Graduate Cloud & AI Engineer (AWS) in City of Westminster
Some tips for your application 🫡
Show Your Passion for Cloud and AI: When writing your application, let us see your enthusiasm for cloud computing and AI. Share any projects or experiences that highlight your interest in these areas, as it’ll help us understand how you can contribute to our team.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Graduate Cloud & AI Engineer role. Highlight relevant skills and experiences that align with the job description, especially your knowledge of AWS and programming languages.
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon unless it's relevant. We appreciate a well-structured application that makes it easy for us to see your qualifications.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter.
How to prepare for a job interview at Reply Ltd
✨Know Your Tech Stack
Make sure you brush up on your knowledge of AWS and the programming languages mentioned in the job description, like Java, Python, or .NET. Familiarity with front-end technologies such as HTML5, CSS3, and JavaScript will also give you an edge.
✨Show Your Problem-Solving Skills
Prepare to discuss how you've tackled real business problems in your projects or coursework. Think about specific examples where you designed solutions or worked collaboratively to overcome challenges, especially in cloud computing or AI.
✨Understand Agile Principles
Since the role involves Agile software delivery, be ready to talk about your experience with Agile methodologies. Share any relevant university projects or placements where you applied these principles, and how they helped in delivering successful outcomes.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team dynamics, the technologies used, or the company's approach to AI and cloud solutions. This shows your genuine interest and helps you assess if it's the right fit for you.