Senior Full Stack and AI Engineer
189378
Desired skills:
.NET, C#, Azure, SQL
Senior Full Stack & AI Engineer (.NET / C#)
� Dublin, Ireland
� Permanent | Full-time
� €80,000 - €90,000 (depending on experience)
Overview
In a world of evolving digital threats and increasing system complexity, security and intelligence engineering are more important than ever. This role sits within a forward-thinking Security Intelligence Engineering team focused on developing AI-driven platforms that empower analysts and enhance threat detection capabilities across enterprise environments.
As a Senior Full Stack & AI Engineer (.NET / C#), you'll lead the design and development of intelligent systems that integrate advanced AI and ML models into secure, scalable web and cloud-based applications. You'll collaborate with engineers, product managers, and analysts to build innovative solutions that shape the next generation of security intelligence tools.
Key Responsibilities
1. Design, develop, and deploy full-stack solutions using C#, .NET (Core/6/8), and modern front-end frameworks (React, Angular, or Blazor).
2. Build RESTful APIs, microservices, and AI-integrated features supporting large-scale data processing.
3. Leverage AI and ML services to enhance the productivity of analysts and automate security workflows.
4. Lead architecture discussions and ensure solutions are secure, performant, and cloud-optimized.
5. Own end-to-end delivery - from design and implementation to testing, deployment, and long-term support.
6. Collaborate across engineering, data science, and operations teams to align technology strategy and execution.
7. Mentor junior developers and promote best practices in coding, architecture, and DevOps.
8. Participate in Agile development cycles and contribute to a culture of technical excellence and continuous improvement.
Required Skills & Experience
9. Bachelor's degree in Computer Science, Software Engineering, or a related discipline (or equivalent experience).
10. 6+ years' experience developing large-scale enterprise systems in C# / .NET.
11. Strong understanding of object-oriented design, SOLID principles, and design patterns.
12. Proven experience building web applications, RESTful APIs, and microservices.
13. Strong knowledge of SQL Server and cloud platforms (Azure or AWS).
14. Hands-on experience with AI integration, data pipelines, or ML model consumption via APIs.
15. Familiarity with DevOps practices, CI/CD pipelines, and containerization (Docker/Kubernetes).
16. Excellent problem-solving, debugging, and communication skills.
Desirable Skills
17. Experience using Blazor or MVC for front-end development.
18. Exposure to AI/ML frameworks (., TensorFlow, or Azure Machine Learning).
19. Previous experience in a cybersecurity or analytics-focused environment.
20. Strong mentoring and leadership capabilities.
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