Associate Distinguished Engineer, Solution Architect
AI Summary
Defines end-to-end architecture across backend, frontend, mobile, cloud, data, and AI; leads Java, microservices, and AWS initiatives; designs scalable cloud-native solutions; advises clients; drives AI/GenAI solutioning; guides engineering teams.
About this role
Associate Distinguished Engineer, Solution Architect
👋🏼We're Nagarro.
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18,700 + experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in.
REQUIREMENTS:
• 15+ years of experience in Solution Architecture
• Expert in Java, Spring Boot, REST APIs, Microservices and distributed systems
• Hands-on with AWS Cloud Architecture, scalability, security, resiliency and DevOps
• Experience in AI Application Solution Design, GenAI, LLM, RAG and AI Agents
• Knowledge of AI SDLC and AI adoption across software development
• Hands-on knowledge of modern Frontend and Mobile technologies
• Expertise in NoSQL databases and distributed data architectures
• Experience in end-to-end architecture across Backend, Frontend, Mobile, Cloud, Data and AI
• Experience with Architecture Reviews, Technology Assessments and POCs
• Client-facing experience with excellent communication and stakeholder management skills
• Ability to identify technical risks, scalability challenges and technical debt
• Experience guiding engineering teams on architecture and implementation
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RESPONSIBILITIES:
• Define end-to-end architecture across Backend, Frontend, Mobile, Cloud, Data and AI
• Lead Java, Microservices and AWS architecture initiatives
• Design scalable, secure and resilient cloud-native solutions
• Advise clients and collaborate with business and technology stakeholders
• Drive AI/GenAI solutioning and AI adoption across the SDLC
• Lead architecture reviews, technology assessments and POCs
• Guide engineering teams on architecture, design and implementation
• Identify and address technical risks, scalability issues and technical debt
• Ensure adherence to security, performance, scalability and architecture standards
• Provide technical leadership and mentor development teams
Qualifications
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
Skills
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