Application Development Senior Supervisor(. NET - ASP) AI - LLM

Company Description Xceed is a leading multilingual Business Process Outsourcing service provider in the EMEA region, operating more than 10,000 web-enabled multi-channel stations. The company delivers inbound, outbound, back office, infrastructure management, recruitment process outsourcing, helpdesk support, and social media analysis services for major government and commercial clients in 10 different languages. Xceed has operational sites in Egypt, Morocco, Mauritius, the UAE, and a new site in Saudi Arabia, offering diverse regional exposure and career opportunities. The organization is consistently recognized by IAOP, INSIGHTS, Gulf Sustainability Awards, ICXA, IBXA, and Global ESG Awards for its excellence in outsourcing, impact sourcing, CSR, sustainability, and diversity, equity, and inclusion. Xceed maintains strong operational governance and quality through multiple international certifications, including COPC and ISO standards for business continuity, quality, environmental, occupational health and safety, and information security.

Role Description

- Lead software development projects from planning to production.

- Design and maintain scalable software architecture.

- Supervise, mentor, and support the development team.

- Ensure code quality, security, and best development practices.

- Oversee AI/LLM integration into software products.

- Manage CI/CD pipelines, production deployments, and system performance.

- Collaborate with business stakeholders to deliver technical solutions.

- Drive continuous improvement and technology innovation.

Requirements

- Bachelor's degree in Computer Science, Software Engineering, or a related field.

- Minimum 6 years of software development experience, including 3+ years in a leadership role.

- Strong experience with C#, ASP.NET Core, Entity Framework Core, REST APIs, and .NET.

- Experience with PostgreSQL and/or SQL Server.

- Knowledge of React or Angular.

- Experience with Docker, CI/CD, AWS, or Azure is a plus.

- Hands-on experience with AI/LLM integration and modern software architecture.

- Strong leadership, communication, and problem-solving skills.

- Fluent in English.