DE-AWS Cloud Native -Full Stack Architect-BMO-GDSF02

Ernst & Young Advisory Services Sdn Bhd; Bengaluru; On-site; INR 1,700,000 - 2,500,000; Full time

Benefits offered by this job

Continuous learning, certifications, and career progression opportunities

Collaborative, inclusive environment

Flexibility and autonomy

Job summary

EY is seeking a Manager Cloud Native Developer in Bengaluru, India. This role involves shaping cloud architectures and guiding engineering teams to deliver impactful cloud transformation solutions. You'll work closely with architects and security teams and manage cloud-native engineering development.

The ideal candidate has 8–12 years in IT focusing on cloud platforms and strong proficiency in AWS. This position offers an opportunity to work on large-scale initiatives in a collaborative and innovative environment.

Qualifications

• 8–12 years of overall IT experience with a focus on cloud-native platforms.
• Proven experience leading cloud architecture and engineering teams.
• Hands-on exposure to AWS, containers, serverless, and AI-enabled systems.

Responsibilities

• Design and implement cloud-native architectures on AWS.
• Build microservices and APIs using Java.
• Drive architectural decisions across scalability and security.

Skills

Backend programming (Node.js / TypeScript)

AI, Copilot & Prompt Engineering

AWS services (EC2, EKS, Lambda)

Infrastructure as Code (CloudFormation, Terraform)

DevOps practices

Continuous integration and deployment

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field

Tools

AWS

Git

Job description

About the Role

Manager Cloud Native Developer (AWS) – a technology leader responsible for shaping cloud architectures, guiding engineering teams, and enabling secure, scalable, AI‑enabled platforms for global clients. You will collaborate with architects, product owners, security teams, and leadership to deliver high‑impact cloud transformation initiatives.

Roles and Responsibilities

Technology & Architecture Leadership

• Design and implement cloud‑native architectures on AWS aligned to the Well‑Architected Framework.
• 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.
• Apply development best practices such as TDD, BDD, and AI‑collaborative development.

Cloud‑Native Engineering Development

• Build microservices and APIs using Java.
• Design and develop solutions based on serverless, event‑driven systems, and asynchronous processing.
• Work with EKS, containerization, and orchestration strategies.
• Establish best practices for observability, logging, tracing, and reliability engineering.

AI & GenAI Proficiency

• Incorporate AI‑enabled and GenAI‑based application patterns within cloud‑native solutions.
• Integrate LLMs and AI services into enterprise applications.
• Design prompt‑driven, agent‑based, or workflow‑augmented systems.
• Implement Retrieval Augmented Generation (RAG) and Multi‑Class Classification (MCP) application patterns.
• Apply 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.
• Serve 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

• Backend programming (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: CloudFormation, Terraform
• Cloud Architecture & Design: Landing zone, VPC, ECS, EKS, Lambda, SNS, SQS

Secondary

• DevOps: CI/CD, automated builds, testing, and deployments.
• Quality, Security & Reliability – automated testing, defect prevention, security best practices, vulnerability remediation, performance tuning.
• AI, Copilot & Prompt Engineering – 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 patterns like RAG and MCP.
• Cloud cost awareness, scalability, resiliency, fault‑tolerant design.

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.

Qualifications

• 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.

Benefits

• 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.