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About the role
Role Overview We are seeking a highly experienced Senior Solution Architect to lead the architecture, modernization, and delivery of enterprise-grade applications across cloud-native and distributed environments. The ideal candidate will have strong expertise in Microsoft technologies, microservices architecture, API ecosystems, cloud platforms, container orchestration, and enterprise integration patterns. The role requires both strategic architecture capability and hands-on technical depth across scalable enterprise systems. Key Responsibilities Define end-to-end architecture for enterprise applications and digital platforms Design scalable, secure, high-performance cloud-native solutions Lead modernization initiatives from monolithic systems to microservices architectures Architect API-first platforms using REST Drive containerized deployments using Kubernetes/OpenShift platforms Define integration strategies across enterprise systems, downstream/upstream platforms, and third-party applications Lead technical design reviews, architecture governance, and solution validation Collaborate with development, DevOps, security, and business teams Provide technical leadership for distributed engineering teams Establish architecture standards, reusable frameworks, and best practices Evaluate and integrate emerging technologies including AI/LLM-enabled enterprise workflows Support cloud migration and platform transformation programs Mentor senior engineers and technical leads Mandatory Technical Skills Core Architecture Enterprise Solution Architecture System Design & Distributed Systems Microservices Architecture API Design & Integration Patterns Event-driven Architecture Technology Stack Angular .NET Core / ASP.NET Core REST APIs SQL & NoSQL Databases Cloud & Containers AWS and/or Azure Kubernetes Docker CI/CD pipelines Integration & Messaging Kafka Enterprise integration patterns API Gateway concepts Preferred Skills Experience with Graph Databases (Neo4j) MongoDB architecture exposure Cloud migration experience AI/LLM architecture exposure GitHub Actions or DevOps tooling Leadership Expectations Ability to independently drive architecture discussions with customers Strong stakeholder communication and presentation skills Experience working with global delivery teams Ability to influence technical direction across programs Architecture governance and technical mentoring capability Education B.Tech / BE in Computer Science or related discipline
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