Associate Principal Engineer, Java Full Stack Engineer, AI

Company 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 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.

Job Description

REQUIREMENTS:

• Total Experience 9+ years
  • Strong hands-on experience in Java, Spring Boot, Microservices and REST APIs
  • Strong experience in Full Stack Engineering with modern frontend technologies such as React/Angular
  • Strong experience in System Design, Solution Architecture and enterprise application development
  • Strong experience with AWS cloud architecture and cloud-native applications
  • Experience with event-driven architecture, databases, APIs and distributed systems
  • Practical Python experience for cloud agents and enterprise integrations
  • Experience with LLM, RAG workflows, AI application frameworks and AI-enabled SDLC
  • Strong understanding of security, scalability, reliability, observability and compliance
  • Experience with CI/CD, DevOps and deployment automation
  • Financial Services or other regulated industry experience is preferred
  • Strong technical communication and experience working with global teams

RESPONSIBILITIES:

• Design and implement scalable enterprise Full Stack applications across frontend, backend, integration and data layers.
  • Work as a 100% hands-on engineer, contributing directly to coding and technical implementation.
  • Develop Java/Spring Boot microservices, enterprise APIs and event-driven integrations.
  • Design modern, secure and high-performance frontend applications and reusable UI components.
  • Lead system design, architecture, system decomposition and integration decisions.
  • Design and implement solutions using AWS and cloud-native engineering practices.
  • Implement resilience, security, scalability, observability and reliability patterns.
  • Apply LLM, RAG and AI-agent capabilities to SDLC and enterprise use cases.
  • Build Python-based agents and enterprise integrations where required.
  • Drive CI/CD, deployment automation, quality and engineering standards.
  • Collaborate with global engineering, product and business teams to deliver enterprise solutions.