The Opportunity : Manager Cloud Native Developer (AWS)

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.

Roles and 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 collaborative 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 :

1. Integrating LLMs and AI services into enterprise applications

2. Designing prompt-driven, agent-based, or workflow-augmented systems

3. Application implementation of RAG, MCP

4. 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 (Weightage : Medium) :

1. Automated testing, defect prevention

2. Security best practices and vulnerability remediation

3. Performance tuning and reliability initiatives

- AI, Copilot & Prompt Engineering (Weightage : Medium) :

1. Use of Microsoft Copilot and AI-assisted development tools

2. Writing AI prompts for code generation, refactoring, test creation, debugging

3. Integrating LLM APIs

4. Using AI services within cloud-native workflows

5. Prompt-driven or agent-based application patterns like RAG, MCP

- Cloud cost awareness, scalability, resiliency, fault-tolerant design (Weightage : Medium)

Skills and Attributes for Success :

- Strong architectural thinking with pragmatic execution mindset

- Ability to operate at both strategic and hands-on levels

- Excellent communication skills to influence technical and non-technical stakeholders

- Leadership mindset with ownership for outcomes and quality

- Passion for emerging technologies, especially AI, cloud platforms, and automation

- Node.js and Java (Spring Boot) expertise

To Qualify for the Role, You Must Have :

- Bachelor's or Master's degree in computer science, Engineering, or related field

- 8 - 12 years of overall IT experience, with significant focus on cloud-native platforms

- Proven experience leading cloud architecture and engineering teams

- Hands-on exposure to AWS, containers, serverless, and AI-enabled systems

- Experience working in large-scale enterprise or global delivery environments

What Working at EY Offers :

- Opportunity to work on large-scale, global cloud transformation programs

- Exposure to cutting-edge cloud, DevOps, and GenAI initiatives

- Continuous learning, certifications, and career progression opportunities

- A collaborative, inclusive environment focused on innovation and quality

- Flexibility and autonomy to grow both technically and professionally