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 equal opportunities in a supportive workplace.
- 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, .NET, Python, or Ruby.
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 prohibit 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.
Graduate Cloud & AI Engineer (AWS) (11206) in Manchester employer: Reply
At Storm Reply, we pride ourselves on being an exceptional employer that fosters a dynamic and inclusive work culture. As a Graduate Cloud & AI Engineer, you will benefit from hands-on experience in cutting-edge cloud technologies while being mentored by seasoned professionals in a collaborative environment. Our commitment to employee growth is evident through tailored training opportunities and the chance to work on innovative projects that shape the future of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Cloud & AI Engineer (AWS) (11206) in Manchester
✨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 at Storm Reply.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your projects, especially those related to cloud computing or AI. This gives potential employers a taste of what you can do beyond your CV.
✨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 cloud-native applications and intelligent solutions at Storm Reply.
✨Tip Number 4
Don’t forget to 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) in Manchester
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:Your cover letter is your chance to shine! Use it to express your passion for cloud technology and AI. Share why you’re excited about this opportunity at Storm Reply and how you can contribute to the team.
Showcase Your Projects:If you've worked on any projects related to cloud solutions or AI, make sure to mention them in your application. This could be university projects, internships, or even personal projects that demonstrate your skills and enthusiasm.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people and shows your genuine interest in joining our team at Storm Reply!
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 be ready to explain how you applied Agile principles in your work. Real-world examples will make you stand out!
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team dynamics, the types of projects you'll be working on, and how they integrate AI into their solutions. This shows you're genuinely interested in the role and eager to learn more about the company.
✨Demonstrate Your Problem-Solving Skills
Be ready to tackle some technical questions or scenarios during the interview. Practice explaining your thought process clearly and logically. This will help the interviewers see how you approach challenges and your ability to collaborate on solutions.
