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 :
- 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 (Weightage : Medium) :




- Automated testing, defect prevention
- Security best practices and vulnerability remediation
- Performance tuning and reliability initiatives
- AI, Copilot &
- Prompt Engineering (Weightage : Medium) :
- Use of Microsoft Copilot and AI-assisted development tools
- Writing AI prompts for code generation, refactoring, test creation, debugging
- Integrating LLM APIs
- Using AI services within cloud-native workflows
- 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 workplace focused on innovation and quality
- Flexibility and autonomy to grow both technically and professionally

📌 EY GDS - Cloud Native Developer/Manager - AWS (India)
🏢 Hirist.tech
📍 India