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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 work on 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 70000 - 90000 £ 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.
Full stack Engineer / C# .Net AW employer: Salt
Contact Detail:
Salt Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full stack Engineer / C# .Net AW
✨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 put in a good word for you.
✨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, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and coding challenges related to C# and cloud technologies. Practise explaining your thought process clearly; it’s all about showing how you tackle problems.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented engineers 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 Full stack Engineer / C# .Net AW
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 C#, .NET, React, and any AI-related projects you've worked on. We want to see how you can contribute to our cutting-edge 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 envision contributing to our team.
Showcase Your Projects: If you've built any full-stack applications or contributed to AI projects, make sure to include them in your application. We love seeing real-world examples of your work, so don’t hold back on sharing your GitHub or portfolio links!
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 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.
✨Emphasise Collaboration Skills
Given the emphasis on working closely with a technical leader, highlight your teamwork and collaboration experiences. Be ready to discuss how you’ve contributed to team projects, handled peer reviews, and maintained code quality in a collaborative environment.