Job Summary

At EY, you ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The Opportunity

As enterprises accelerate adoption of cloud, AI, and platform-based architectures, EY GDS is seeking a Manager - Cloud Native Developer who brings deep technical breadth and architectural maturity across cloud-native ecosystems.

In this role, you will act as a technology leader and solution driver, responsible for shaping cloud architectures, guiding engineering teams, and enabling secure, scalable, AI-enabled platforms for global clients. You will work closely with architects, product owners, security teams, and leadership to deliver high-impact cloud transformation initiatives.

Responsibilities

Technology & Architecture Leadership

- Design and implementation of cloud-native architectures on AWS, aligned to Well-Architected Framework principles
- Define reference architectures for microservices, serverless, and container-based platforms
- Drive architectural decisions across scalability, resilience, performance, security, and cost optimization
- Review and govern solution designs, ensuring consistency with enterprise and cloud security standards
- Experience in working with development best practices and approaches such as TDD, BDD and AI cooperative development.
- Develop/maintain full stack applications using Node.js and Java (Spring Boot), Build and deploy scalable solutions on AWS (Lambda, API Gateway, EC2), Design APIs, Integrate systems, and support event-driven architectures (Kafka, MQ).
- Create technical designs for user stories and support Agile delivery, Collaborate with teams on CI/CD testing, and cloud deployments,



leverage AI tools to improve development efficiency and productivity

Cloud-Native Engineering Development

- Hands on experience in building microservices and APIs using Java.
- Design and develop solution based on serverless, event-driven systems, and asynchronous processing.
- Hands on knowledge of EKS, containerization, and orchestration strategies.
- Establish best practices for observability, logging, tracing, and reliability engineering.

AI & GenAI Proficiency

- Adoption of AI-enabled and GenAI-based application patterns within cloud-native solutions
- Hands on experience on:
- Integrating LLMs and AI services into enterprise applications
- Designing prompt-driven, agent-based, or workflow-augmented systems
- Application implementation of RAG, MCP
- Applying responsible AI and security considerations in AI usage

- Act as a technical advisor on AI readiness and AI-driven modernization

People, Delivery & Stakeholder Management

- Mentor senior and mid-level engineers; provide technical coaching and career guidance
- Act as a technical escalation point for complex engineering challenges
- Collaborate with stakeholders to translate business outcomes into technology roadmaps
- Support pre-sales, solutioning, and technical estimations when required

Technical Skills - Primary

- Proficiency in backend programming languages: Node.js/Typescript
- Compute: EC2, EKS, Lambda
- Storage: S3
- Databases: RDS, DynamoDB
- Networking & Security: VPC, IAM, Security Groups
- Integration & Messaging: API Gateway, SNS, SQS
- Infrastructure as Code (IaC): CloudFormation, Terraform
- Cloud Architecture & Design: Landing zone, VPC, ECS, EKS, Lambda, SNS, SQS

Technical Skills - Secondary

- DevOps practices: CI/CD, automated builds, testing, and deployments
- Quality, Security & Reliability

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 DE-AWS Cloud Native -Full Stack Architect-BMO-G (Bengaluru)
🏢 EY
📍 Bengaluru