Associate Distinguished Engineer, Java & AWS with AI Solution Arch

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 (18000+ experts across 40 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: 15+ years.
• Strong expertise in Solution Architecture, Java, Spring Boot, and Microservices.
• Extensive hands-on experience designing and implementing AWS cloud-native solutions using services such as EKS, Lambda, API Gateway, Cognito, DynamoDB, S3, CloudFront, OpenSearch, SQS/SNS, CloudWatch, and related AWS services.
• Strong understanding of AI Application Solution Design with experience integrating AI services such as Amazon SageMaker, Rekognition, Polly, AI Search, or similar AI/ML platforms.
• Good architectural knowledge of Angular and React Native applications, with the ability to guide frontend engineering teams.
• Experience driving cloud architecture, scalability, security, performance optimisation, and cost optimisation initiatives.
• Strong experience working with CI/CD, DevOps, containerisation, and modern software engineering best practices.
• Excellent client-facing, stakeholder management, technical leadership, and communication skills.

RESPONSIBILITIES:

• Own and evolve the overall solution architecture across cloud infrastructure, backend, and frontend platforms.
• Design and govern scalable, secure, and cost-effective AWS cloud architecture for enterprise applications.
• Provide architectural guidance for Java/Spring Boot microservices and mentor engineering teams on implementation best practices.
• Define high-level architecture for Angular and React Native applications, ensuring seamless integration with backend and cloud services.
• Identify and implement AI-driven automation opportunities and recommend AI service integrations to enhance product capabilities.
• Drive technical roadmap initiatives including Java and Spring Boot upgrades, cloud optimisation, performance improvements, and technical debt reduction.
• Lead technical discussions with clients, provide solution recommendations, and act as the primary technical point of contact.
• Ensure architectural governance, engineering standards, and best practices are followed throughout the SDLC while guiding cross-functional teams to deliver high-quality solutions.