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- Tasks: Design and build secure, scalable cloud-native applications using cutting-edge AI technologies.
- Company: Rapidly growing AI & Cloud consultancy with a focus on innovation.
- Benefits: Flexible working, competitive salary, and exposure to advanced AI engineering practices.
- Other info: Collaborate with industry leaders and contribute to high-impact enterprise projects.
- Why this job: Join a team shaping the future of AI and cloud technology with real impact.
- Qualifications: Experience in C#, .NET, React, and cloud technologies; strong coding and testing skills.
The predicted salary is between 60000 - 80000 £ per year.
We’re partnering with a rapidly growing AI & Cloud consultancy that is building something genuinely different in the market.
Cutting-edge internal AI products being taken to market.
High-impact enterprise customer projects.
Direct collaboration with one of the most technically respected leaders in the cloud & AI space.
This is a hands-on engineering role for someone who wants to operate at a high technical bar, shape architecture decisions, and build modern AI-enabled platforms properly. If you care about clean design, security, performance, and using AI responsibly to accelerate engineering — you’ll thrive here.
- Designing and building secure, scalable cloud-native applications
- Contributing to internal AI-powered products from concept to market launch
- Working closely with a deeply technical industry leader to shape architecture and engineering standards
- Building modern full-stack platforms across backend, frontend, cloud, DevOps and AI tooling
- Embedding AI-assisted workflows into real-world engineering environments
Backend Engineering
- C# (.NET / .NET Core)
- NET Core APIs
- Asynchronous programming, concurrency & performance tuning
- TDD, unit testing & integration testing
- Code quality gates & peer review discipline
- Secure coding practices
Frontend Engineering
- TypeScript
- React.js
- Modern frontend patterns (hooks, state management, server/client data fetching)
- Multi-tenant architecture (data isolation, tenant-aware auth, scaling)
- Azure PaaS (App Services, Functions, Storage, Service Bus, Key Vault)
- Secure networking (VNets, private endpoints, ingress/egress patterns)
DevOps & Delivery
- Advanced CI/CD pipelines (Azure DevOps, GitHub Actions)
- Environment promotion strategies
AI-Enabled Engineering
- AI-assisted development workflows (Copilot, Claude Code or similar)
- AI coding guardrails & validation gates
- Using AI as a force multiplier without compromising maintainability or security
You’ll help build real AI products, not just prototypes.
Flexible working.
Exposure to advanced AI engineering practices.
FullStack Developer - DevOps - AWS employer: Salt
Contact Detail:
Salt Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land FullStack Developer - DevOps - AWS
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving .NET, React, and AI. This is your chance to demonstrate your expertise and passion for building modern platforms.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding cloud-native applications. Practice common algorithms and system design questions to impress your interviewers.
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented developers like you. Make sure to tailor your application to highlight your experience with AI, DevOps, and secure coding practices.
We think you need these skills to ace FullStack Developer - DevOps - AWS
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in .NET, React, and any relevant AI projects you've worked on. We want to see how you can contribute to our cutting-edge internal AI products!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for clean design and secure coding practices. Let us know why you're excited about working with AI and cloud technologies, and how you can help shape architecture decisions at StudySmarter.
Showcase Your Projects: Include links to your GitHub or any live projects that demonstrate your full-stack capabilities. We love seeing real-world applications of your skills, especially if they involve modern frontend patterns or advanced CI/CD pipelines!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Salt
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially C#, .NET, React, and Azure. Brush up on your knowledge of asynchronous programming and secure coding practices, as these are crucial for the role.
✨Showcase Your AI Knowledge
Since this role involves AI-enabled engineering, be prepared to discuss how you've used AI tools in your previous projects. Share specific examples of how you've integrated AI into your workflows or products, and demonstrate your understanding of responsible AI usage.
✨Prepare for Technical Challenges
Expect to face technical questions or coding challenges during the interview. Practice common algorithms and data structures, and be ready to explain your thought process. This will show your problem-solving skills and ability to work under pressure.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to cloud-native applications and AI integration. This not only shows your interest but also helps you gauge if the company aligns with your values and career goals.