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De - Aws - Cloud Native Ai Engineer - Vg - F02 @ EY

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 De - Aws - Cloud Native Ai Engineer - Vg - F02

Job Description

We are looking for a highly skilled and experienced AWS Cloud Native AI Engineer with 5 to 10 years of experience. The ideal candidate will have expertise in Python, GenAI, and AWS cloud services.### Roles and Responsibility
  • Design and develop cloud-native applications and services using AWS services such as Lambda, API Gateway, ECS, EKS, DynamoDB, Glue, Redshift, EMR.
  • Implement CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy to automate application deployment and updates.
  • Collaborate with architects and other engineers to design scalable and secure application architectures on AWS.
  • Monitor application performance and implement optimizations to enhance reliability, scalability, and efficiency.
  • Implement security best practices for AWS applications, including identity and access management (IAM), encryption, and secure coding practices.
  • Design and deploy containerized applications using AWS services such as Amazon ECS (Elastic Container Service), Amazon EKS (Elastic Kubernetes Service), and AWS Fargate.
  • Optimize container performance and resource utilization by tuning settings and configurations.
  • Implement and manage application observability tools such as AWS CloudWatch, AWS X-Ray, Prometheus, Grafana, and ELK Stack (Elasticsearch, Logstash, Kibana).
  • Develop and configure monitoring, logging, and alerting systems to provide insights into application performance and health.
  • Create dashboards and reports to visualize application metrics and logs for proactive monitoring and troubleshooting.
  • Integrate AWS services with application components and external systems, ensuring smooth and efficient data flow.
  • Diagnose and resolve issues related to application performance, availability, and reliability.
  • Create and maintain comprehensive documentation for application design, deployment processes, and configuration.### Job Requirements
  • Proficiency in AWS services such as Lambda, API Gateway, ECS, EKS, DynamoDB, S3, and RDS, Glue, Redshift, EMR.
  • Experience in developing and deploying AI solutions with Python and JavaScript.
  • Strong background in machine learning, deep learning, and data modeling.
  • Good understanding of backend development using NodeJS, ExpressJS, Python Flask/FastAPI, and RESTful API design.
  • Proficiency in frontend development using Angular, ReactJS, TypeScript.
  • Experience with cloud engineering technologies like Docker, Git, and CI/CD pipelines.
  • Understanding of AWS security best practices, including IAM, KMS, and encryption.
  • Familiarity with observability tools like AWS CloudWatch, AWS X-Ray, Prometheus, Grafana, and ELK Stack.
  • Knowledge of container orchestration concepts and tools, including Kubernetes and Docker Swarm.
  • Monitoring and logging tools such as AWS CloudWatch, CloudTrail, or ELK Stack.
  • Strong teamwork and communication skills with the ability to work effectively with cross-functional teams.
  • Job Classification

    Industry: Banking
    Functional Area / Department: Engineering - Software & QA
    Role Category: DevOps
    Role: DevOps Engineer
    Employement Type: Full time

    Contact Details:

    Company: EY
    Location(s): Hyderabad

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    Keyskills:   Accounting regulatory support Finance Management National Taxation Taxation

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