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Nagarro seeks a Senior Frontend Engineer to help build innovative digital products and services, engaging with top tech and collaborative teams.

The role involves using your technical skills to lead teams, tackle client challenges, and drive solutions for improved outcomes.

Join Nagarro as an Engineer to work with innovative technology and bright minds in a dynamic, non-hierarchical environment.

Lead architecture, design, and implementation of ServiceNow (GRC) solutions. Translate business requirements into technical designs, define NFRs, review configurations and code, guide developers, and oversee integrations, scalability, security, and platform best practices.

Lead design, development, and implementation of ServiceNow ITAM (HAM/SAM) solutions and integrations. Configure/customize platform using scripting, perform integration testing, troubleshoot issues, ensure best practices, and collaborate with global teams for successful delivery.

Lead architecture and design for multi-tier .NET and cloud-based products, drive POCs, define technology roadmaps, mentor engineering teams, ensure high availability, CI/CD and IaC best practices, and integrate AI/LLM solutions while delivering architecture documentation and stakeholder-aligned designs.

Lead full‑stack .NET/React architecture and implementation: design scalable microservices, define technical standards, write and review code and design docs, mentor engineers, run POCs, resolve cross‑technology issues, and ensure non‑functional requirements (scalability, security, performance) are met.

Design and own architecture for production-grade Generative AI applications. Lead system design across backend, frontend (React), and AI infrastructure for LLM inference, RAG pipelines, and agent workflows. Define technical strategy, standards for prompt design, model integration, observability, and enterprise readiness (security, privacy, governance). Mentor teams, run POCs, review designs and code, and partner with product and business stakeholders to translate requirements into scalable AI solutions.

Lead architecture and delivery of production-grade GenAI full‑stack solutions using Python and React. Design scalable LLM inference, RAG and agent pipelines, integrate cloud/on‑prem deployments, enforce security/governance, drive CI/CD and QA, mentor teams, and translate business needs into technical strategy and reusable AI platforms.

Lead architecture and delivery of production-grade Generative AI applications. Define technical strategy, design scalable LLM inference and RAG platforms, frontend AI UX, and reusable GenAI components. Ensure security, privacy, governance, and enterprise readiness while partnering with product and engineering teams and conducting POCs and technical reviews.