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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, exposure to advanced AI engineering practices, and competitive salary.
- 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; passion for clean design and security.
- Other info: Collaborate with industry leaders and contribute to high-impact enterprise projects.
The predicted salary is between 36000 - 60000 £ 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 are being taken to market with high-impact enterprise customer projects.
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 with exposure to advanced AI engineering practices.
FullStack Developer - DevOps - AWS in England employer: Salt
Contact Detail:
Salt Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land FullStack Developer - DevOps - AWS in England
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues 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 hands-on experience and technical prowess to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice coding challenges and be ready to discuss your past projects in detail. Remember, they want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who are passionate about building modern AI-enabled platforms. Your next big opportunity could be just a click away!
We think you need these skills to ace FullStack Developer - DevOps - AWS in England
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 or cloud 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, security, and performance. Let us know why you're excited about building modern AI-enabled platforms and how you can help shape architecture decisions.
Showcase Your Projects: If you've worked on any relevant projects, especially those involving cloud-native applications or AI, make sure to include them. We love seeing real-world examples of your work, so don’t hold back on sharing your achievements!
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 us you’re keen to join 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 will likely come up during technical discussions.
✨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 Architecture Discussions
This position requires shaping architecture decisions, so be ready to talk about your experience with designing scalable cloud-native applications. Think about past projects where you made significant architectural choices and be prepared to explain your reasoning.
✨Demonstrate Collaboration Skills
Given the emphasis on working closely with a technical leader, highlight your teamwork experiences. Prepare anecdotes that showcase your ability to collaborate effectively, whether it’s through code reviews, pair programming, or contributing to team standards.
