mitigation plans Skills and Experience Essential Technical Skills Extensive experience leading and mentoring high-performing software engineering teams. Strong hands-on expertise with the Microsoft .NET ecosystem: C#, ASP.NET MVC, Entity Framework, Visual Studio. Solid understanding of web technologies such as JavaScript, React, Angular, HTML. Strong grounding in software engineering principles, including SOLID, design patterns, and scalable architecture. More ❯
following Bachelor's degree in Computer Science, Mathematics, Statistics, or related Engineering field (or equivalent qualification) is needed. Significant experience of Software Development is required. C# (essential) Web development - ASP.NET MVC, Web APIs, SQL, HTML, CSS, JavaScript (essential) Angular (Considered as plus) React (Considered as plus) Prior experience of working in Finance domain (Investment bank, Asset Management firm, Hedge More ❯
as knowledge sharing and open communication. Technologies Experience of our tech stack is important to this role. You must have experience with these technologies: C# (.NET and .NET Framework, ASP.NET) Microsoft SQL Server Our Broader Technology Stack Also Includes Azure Cloud (DevOps, Compute, Storage, SQL PaaS, etc.) Terraform PowerShell Benefits Flexible working with support for WFH set up. More ❯
Senior Full Stack Engineer – ASP.Net Core/C#/React – London (Hybrid – 3 days onsite) - £60k - £80k DOE Meraki Talent have partnered with a boutique investment client who are growing their Engineering team due to some great new client wins. Joining a cross functional team, you will deliver custom data warehousing and platform services to private market clients. This … play a key role in shaping technical direction and designing clean and robust systems. Technical Experience Full Stack Development experience across web applications Strong experience across their core products – ASP.Net Core, C#, React.js Knowledge of HTML/CSS/JavaScript/Typescript Deployment and support of solutions into Azure Experience of performance tuning when dealing with large data sets More ❯