Principal Engineer (Microservices Architecture)

👋🏼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 a scale — across all devices and digital mediums, and our people exist everywhere in the world (18500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in! Requirements - Experience : 11+ years - Relevant experience in Solution Architecture or a closely related architecture role. - Strong hands-on experience designing and architecting microservices-based applications. - Proven experience designing and architecting at least 3 large-scale, secure, resilient, API-driven applications. - Strong expertise in High-Level Design (HLD), enterprise architecture patterns, and scalable solution design. - Strong understanding of API-driven architectures, distributed systems, microservices, integration patterns, and enterprise application architecture. - Strong experience defining architecture standards, best practices, technical guidelines, and reusable solution blueprints. - Proven experience working within Agile squads/tribes and collaborating with cross-functional product and engineering teams. - Strong Banking Domain experience, with exposure to areas such as Banking, Wealth Management, Lending, Asset Management, and Accounting. - Strong understanding of cybersecurity principles and secure application architecture. - Knowledge of PCI-DSS, GDPR, and UAE regulatory requirements. - Good understanding of security architecture concepts and secure-by-design practices. - Exposure to offensive and defensive security concepts is desirable. - Strong stakeholder management, communication, presentation, and influencing skills. - Demonstrated ability to mentor architects and engineering teams and provide technical leadership. - Strong analytical and problem-solving skills with the ability to make architecture decisions in complex enterprise environments. - Exposure to AI/GenAI, LLMs, RAG, Vector Databases, MCP, and AI Agents is desirable. - Familiarity with AI-assisted development tools such as GitHub Copilot and Claude Code is an advantage. - Experience evaluating emerging technologies and translating them into practical enterprise solutions is desirable. - Security Architect experience or exposure is an added advantag.Responsibilities - Define and own solution architecture for large-scale, secure, resilient, and API-driven enterprise applications. - Design and implement scalable microservices architectures aligned with business and technology objectives. - Lead High-Level Design (HLD), architecture definition, technology selection, and solution design activities. - Define architecture patterns, technical standards, best practices, reusable components, and architecture blueprints. - Ensure solutions meet requirements for scalability, availability, resilience, security, performance, and maintainability. - Lead architecture discussions across product, engineering, security, infrastructure, and business teams. - Collaborate with Agile squads and tribes to translate business requirements into scalable technical solutions. - Review solution designs and provide architectural guidance throughout the software development lifecycle. - Ensure architecture and solutions comply with cybersecurity requirements, PCI-DSS, GDPR, and applicable UAE regulatory requirements. - Identify architectural risks, technical dependencies, security gaps, and scalability challenges and define appropriate mitigation strategies. - Work closely with security teams to incorporate secure-by-design principles and appropriate security controls. - Provide technical leadership and mentorship to architects, senior engineers, and development teams. - Manage senior stakeholders and communicate complex technical concepts and architecture decisions effectively. - Drive adoption of reusable architecture patterns and engineering best practices across projects and teams. - Contribute to modernization initiatives involving APIs, microservices, cloud-native technologies, and enterprise platforms. - Evaluate emerging technologies and assess their suitability for enterprise adoption. - Explore and support AI/GenAI use cases involving LLMs, RAG, Vector Databases, MCP, and AI Agents. - Evaluate developer productivity and AI-assisted development tools such as GitHub Copilot and Claude Code. - Apply understanding of offensive and defensive security concepts when designing and reviewing enterprise solutions. - Provide architectural support during implementation, testing, deployment, and production stabilization. Bachelor’s or master’s degree in computer science, Information Technology, or a related field.