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We are looking for a visionary Solution Architect to lead enterprise-grade digital transformation projects. If you have expertise in cloud-native solutions, application modernization, GenAI integration, and enjoy mentoring teams while driving innovation, this role is for you. You will collaborate with cross-functional teams, influence strategic technology decisions, and help shape the future of enterprise solutions.
Job Responsibility:
Lead solution architecture and design for key projects, delivering accurate estimates and coordinating with architects across solution, infrastructure, and data disciplines
Collaborate with delivery teams, production support, QA, infrastructure, and stakeholders to transform requirements into scalable, secure, and cloud-native solutions
Define and enforce technical best practices, standards, and security guidelines while conducting quality assurance, automated code review, and design/code reviews
Mentor engineers and guide teams through complex technical challenges, promoting modular design, secure coding practices, and professional growth
Drive modernization initiatives including refactoring, containerization, microservices adoption, and database migration, including migration from legacy RDBMS to cloud-native or NoSQL solutions
Integrate AI/ML and GenAI components (LLMs, embedding, vector databases, prompt engineering) into enterprise workflows and design innovative GenAI-enabled applications
Continuously assess and recommend tools, frameworks, and platforms to meet evolving project needs efficiently, ensuring alignment with business objectives
Requirements:
Bachelor’s/Master’s in Computer Science, Engineering, or related field
Strong programming experience in .NET, Python, Java, or Node.js
Hands-on experience with AWS or Azure, microservices, micro frontend, API gateways, and messaging systems
Knowledge of GenAI apps (LLMs, embedding, prompt chaining), ML workflows, REST APIs, and event-driven architectures
Experience with database modernization, schema optimization, migration tools (Flyway, Liquibase), and cloud-native database platforms
Familiarity with containerization (Docker), orchestration (Kubernetes), and secure SDLC practices
Awareness of cloud security, compliance, and cost optimization
Ability to integrate security considerations throughout the SDLC, including threat modeling and secure coding practices
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