Technical Delivery Manager - Web, Mobile, Cloud and AI

• We are seeking a highly experienced and proactive Technical Delivery Manager to lead the successful delivery of complex, cross-functional software projects across web, mobile, cloud, and AI ecosystems
• . The ideal candidate will have hands-on experience managing full-cycle delivery of solutions built on .NET,, ReactJS, Angular, Mobile Platforms, DevOps Pipelines, Artificial Intelligence, and Data Platforms. You will act as the technology leader, project manager, and customer liaison to ensure delivery excellence.

Key Responsibilities:
• Collaborate with engineering teams to architect, plan, and deliver scalable, secure, and high-performance solutions across technologies: o Web & Backend: .NET Core / .NET Framework o Frontend: ReactJS, Angular o Enterprise Collaboration: SharePoint Online / SPFx o Mobile Apps: Android, iOS, Hybrid frameworks (e.g., React Native, Flutter) o AI & Data: OpenAI, Azure Cognitive Services, Power BI, Data Pipelines o DevOps: Azure DevOps, GitHub Actions, CI/CD, Infrastructure as Code • Provide technical leadership and mentoring to software engineers, solution architects, and DevOps teams. • Coordinate with cross-functional teams including UI/UX, QA, and data engineers. • Engage directly with clients to gather requirements, manage expectations, and provide progress updates. • Ensure adherence to Agile delivery methodologies, sprint planning, and release governance. • Drive best practices in architecture, performance, security, and code quality. • Identify and mitigate project risks, dependencies, and roadblocks. • Manage project budgets, resource planning, and timelines. ________________________________________ Technical Skills Required: • Strong understanding of enterprise application architectures, design patterns, and modern web/mobile/cloud development paradigms. • Expertise in at least two or more of the following areas: o .NET / .NET Core, C#, Web API o Frontend frameworks: ReactJS, Angular o Mobile app development (native/hybrid) o AI/ML integration (OpenAI, Azure AI, NLP, Chatbots) o Data & Reporting: SQL Server, Power BI, Data Lakes, ETL Pipelines o DevOps: CI/CD, Docker, Azure DevOps, GitHub Actions, Terraform, ARM templates • Experience with cloud platforms: Azure (preferred), AWS or GCP.