Solution Architect

Role Summary We are looking for a Solution Architect / Technical Architect to design and deliver scalable, secure, cloud-native enterprise solutions. The ideal candidate will provide architectural leadership across application, data, cloud, integration, and AI-driven platforms while working closely with business and engineering teams. Mandatory Skills 15+ years of experience in software development and enterprise solution design. Strong expertise in Solution Architecture and Technical Architecture . Hands-on experience with Microservices, REST APIs, Event-Driven Architecture, and Distributed Systems . Strong knowledge of Cloud Platforms (Azure/AWS/GCP) and cloud-native architectures. Experience with Docker, Kubernetes, CI/CD, and Infrastructure as Code . Expertise in Data Architecture, Data Modeling, Data Warehousing, and Analytics Platforms . Experience designing and integrating AI/ML solutions , including MLOps and model lifecycle management. Strong understanding of IAM, Security, Authentication, Authorization, Encryption, and Compliance . Experience implementing Observability frameworks (Logging, Monitoring, Tracing) . Proven ability to design solutions meeting Performance, Scalability, Availability, and Reliability requirements. Strong stakeholder management, communication, and leadership skills. Experience leading architecture reviews and mentoring engineering teams. Preferred Skills TOGAF or equivalent Architecture certification. Azure Solutions Architect / AWS Solutions Architect certification. Experience in Global Enterprise (G2K) environments. Exposure to Data & AI modernization initiatives. Key Responsibilities Define end-to-end architecture and technology roadmaps. Lead solution design, architecture reviews, and technical governance. Design API, microservices, cloud, and data architectures. Ensure security, scalability, and high availability of solutions. Collaborate with business, product, and engineering stakeholders. Mentor development teams and establish architecture best practices. Drive adoption of AI/ML, cloud-native, and modern engineering practices