At a Glance
- Tasks: Join a dynamic team to design and build cloud-native applications on AWS.
- Company: Storm Reply, a leading cloud consultancy with a collaborative culture.
- Benefits: Gain hands-on experience, mentorship, and career growth in a fast-paced environment.
- Other info: Embrace diversity and enjoy a supportive workplace focused on innovation.
- Why this job: Launch your software engineering career while working with cutting-edge AI and cloud technologies.
- Qualifications: 2.1 degree in Computer Science or related field; programming skills in Java, Python, or similar.
The predicted salary is between 28000 - 35000 £ per year.
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.
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.
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.
Graduate Cloud & AI Engineer (AWS) (11206) employer: Reply
At Storm Reply, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Graduate Cloud & AI Engineer, you will benefit from hands-on experience with cutting-edge technologies in a supportive environment, where mentorship from experienced engineers accelerates your professional growth. Our commitment to diversity and inclusion, along with opportunities to work on impactful projects in the cloud and AI space, makes Storm Reply an ideal place for recent graduates seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Cloud & AI Engineer (AWS) (11206)
✨Tip Number 1
Network like a pro! Reach out to alumni from your university or connect with professionals on LinkedIn. A friendly chat can open doors and give you insights into the company culture at Storm Reply.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to cloud computing and AI. This is your chance to demonstrate what you can bring to the table beyond just your degree.
✨Tip Number 3
Prepare for the interview by brushing up on AWS services and AI concepts. Be ready to discuss how you can contribute to building intelligent solutions at Storm Reply. Confidence is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the team at Storm Reply.
We think you need these skills to ace Graduate Cloud & AI Engineer (AWS) (11206)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Graduate Cloud & AI Engineer role. Highlight any relevant projects or coursework that showcase your understanding of cloud computing, AI, and software development.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about cloud technology and AI. Share specific examples of how your background makes you a great fit for our team at Storm Reply, and don’t forget to mention your enthusiasm for learning and collaboration!
Showcase Your Projects:If you've worked on any personal or academic projects related to cloud solutions or AI, make sure to include them in your application. We love seeing practical applications of your skills, so don’t hold back on sharing what you’ve built!
Apply Through Our Website:For the best chance of success, apply directly through our website. This ensures your application gets to the right people and shows us you're serious about joining our team. Plus, it’s super easy to do!
How to prepare for a job interview at Reply
✨Know Your Cloud Basics
Make sure you brush up on your knowledge of cloud computing, especially AWS services. Familiarise yourself with IaaS, SaaS, and PaaS concepts, as well as any specific AWS tools mentioned in the job description. This will show your enthusiasm and readiness to dive into the role.
✨Showcase Your Projects
Prepare to discuss any relevant projects you've worked on during your studies or internships. Highlight your experience with front-end technologies like HTML5, CSS3, and JavaScript, and any programming languages you're comfortable with. Real-world examples can really make you stand out!
✨Emphasise Collaboration Skills
Since this role involves working in a team, be ready to talk about your experiences in collaborative environments. Share how you've contributed to group projects and how you handle feedback. This will demonstrate your ability to work well with others and adapt to a team setting.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company culture, team dynamics, or specific technologies they use. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you. Plus, it opens up a dialogue that can make the interview more engaging!
