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    Job · 21308751

    BENGALURU · FULLTIME

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

    Ernst Young

    Ernst Young

    Bengaluru · onsite · Posted 4d ago

    Sourced fromNaukri
    Undisclosed8–12 yrsfulltimeBengaluru

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    Section · 01

    About this role

    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

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    Section · 02

    Skills

    AutomationAgilecloud platformsapisai servicescloud nativeautomated testingamazon web servicesAws Api GatewayAgile DeliveryAnalyticsAsynchronousCapital MarketscloudAI ToolsArchitectureAccountingBddCloud ArchitectureArtificial Intelligence

    Section · Company

    About Ernst & Young

    Ernst Young

    Ernst Young

    Management Consulting

    44k+

    employees

    2002

    24 years old

    Gurgaon / Gurugram, Haryana

    India

    ₹15.3L PA avg

    Avg at Ernst & Young

    About

    At EY, our purpose is Building a better working world. The insights and quality services we provide help build trust and confidence in the capital markets and in economies the world over.

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