Principal Engineer (Microservices Architecture)

Job description

👋🏼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.