.Net Full Stack Development

Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design code and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable high-performing solutions tailored to specific business needs.
Must have skills : .Net Full Stack Development
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
AI POWERED TECH TALENT.
Seeking a forward-thinking professional with an AI-first mindset to design develop and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation efficiency and business transformation.
Roles & Responsibilities: Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges automate processes and integrate intelligent insights into enterprise workflows for measurable impact.
Professional & Technical Skills: Strong grasp of Generative and Agentic AI prompt engineering and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability responsible use and tangible value realization.
Overview:
We are seeking a seasoned Full Stack Enterprise Architect with deep expertise in designing and implementing application-heavy multi-cloud enterprise solutions. The ideal candidate will have a strong background in applications infrastructure and integration with hands-on experience Core MVC Framework and Python as well as exposure to modern front-end technologies like React or Angular. A solid understanding of AI and its integration into enterprise systems is essential. This role will drive the architecture of scalable secure and innovative solutions to support business objectives across multiple cloud platforms.
Key Responsibilities: Solution Architecture: Design end-to-end application-heavy enterprise architectures that integrate infrastructure applications data and platforms across multi-cloud environments (e.g. AWS Azure Google Cloud).
Application Development Leadership: Lead the design and implementation of robust scalable applications with a focus on full-stack development ensuring alignment with business goals.
Integration Strategy: Architect seamless integrations between systems applications and third-party services using APIs microservices and event-driven architectures.
Multi-Cloud Strategy: Develop and implement strategies for deploying and managing applications across multiple cloud platforms ensuring portability scalability and cost optimization.
Technology Leadership: Provide technical guidance and Python-based backend systems and modern front-end frameworks like React or Angular.
AI Adoption: Incorporate GenAI/Agentic AI capabilities into enterprise applications leveraging frameworks and tools to enhance productivity & functionality (e.g. predictive analytics automation).
Infrastructure Design: Collaborate with infrastructure teams to design cloud-native solutions including containerization (Docker Kubernetes) CI/CD pipelines and IaC (Terraform Bicep).
Performance & Security: Ensure solutions are optimized for performance scalability and security adhering to industry standards and best practices.
Stakeholder Collaboration: Work closely with product managers developers DevOps and business stakeholders to translate requirements into technical solutions.
Innovation & Trends: Stay updated on emerging technologies including AI advancements cloud trends and full-stack development practices to drive continuous improvement.
Qualifications & Skills: Experience: 12 to 20 years of experience in enterprise architecture with at least 3 to 5 years in a full-stack architect role focusing on application-heavy solutions.
Proven track record of designing and deploying solutions in multi-cloud environments (AWS Azure Google Cloud).
Hands-on experience Core and Python for backend development.
Exposure to front-end technologies such as React Angular or similar frameworks.
Strong understanding of AI concepts and their application in enterprise systems.
Expertise in integration patterns (e.g. REST Azure Integration Services GraphQL Kafka message queues) and microservices architecture.
Exposure to big data technologies (e.g. Fabrics Hadoop Spark) and data integration pipelines.
Experience with infrastructure components such as containerization (Docker Kubernetes) serverless computing and IaC tools (Terraform Bicep).
Understanding of DevOps practices including CI/CD pipelines monitoring and logging tools.
Knowledge of enterprise security practices including IAM encryption and compliance standards.
Soft Skills:
Excellent problem-solving and analytical skills.
Strong communication and leadership abilities to guide cross-functional teams.
Ability to translate complex technical concepts into business-friendly language.
Proactive innovative mindset with a focus on delivering scalable solutions.
Education: Bachelor s or master s degree in computer science Engineering or a related field.
Relevant certifications (e.g. Azure Solutions Architect Expert Azure AI Fundamentals TOGAF DevOps Engineer Expert or similar) are a plus.