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Ernst & Young Global Limited EY Consulting ambition is to become the world’s leading transformation consultants, trusted to help our clients generate long-term value. We’re building world-class capabilities in business, technology, and people consulting to help us deliver on EY’s purpose of building a better working world — our firm’s broader ambition to become the world’s most trusted, distinctive professional services organization.
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Here at EY, you’ll have the chance to build a truly exceptional experience. We’ll empower you with the latest technology, surround you with high-performing teams, and provide the global scale and diverse and inclusive culture you need to discover your full potential. Through our coaching and training programs, you’ll develop the skillsets you need to stay relevant today and in the future – all while building a network of colleagues, mentors, and leaders who will be on the journey with you at EY and beyond.
EY’s 2025 Mega Recruitment Drive for AWS Cloud Native
We’re looking for an AWS Cloud Native – Full Stack Engineer at EY GDS. You will work on designing and implementing cloud-native applications and services using AWS technologies. You will collaborate with development teams to build, deploy, and manage applications that meet business needs and leverage AWS best practices. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. We are the only professional services organization who has a separate business dedicated exclusively to the financial and non-financial services marketplace. Join Digital Engineering team and you will work with multi-disciplinary teams from around the world to deliver a global perspective.
DE-AWS-Cloud Native Full Stack Engineer-VG-F02
Job Responsibilities
Application Development: Design and develop cloud-native applications and services using Angular/React/Typescript, Java Springboot /Node, AWS services such as Lambda, API Gateway, ECS, EKS, and DynamoDB, Glue, Redshift, EMR.
Deployment and Automation: Implement CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy to automate application deployment and updates.
Architecture Design: Collaborate with architects and other engineers to design scalable and secure application architectures on AWS.
Performance Tuning: Monitor application performance and implement optimizations to enhance reliability, scalability, and efficiency.
Security: Implement security best practices for AWS applications, including identity and access management (IAM), encryption, and secure coding practices.
Container Services Management:
Design and deploy containerized applications using AWS services such as Amazon ECS (Elastic Container Service), Amazon EKS (Elastic Kubernetes Service), and AWS Fargate.
Configure and manage container orchestration, scaling, and deployment strategies.
Optimize container performance and resource utilization by tuning settings and configurations.
Qualification:
AWS Services: Proficiency in AWS services such as Lambda, API Gateway, ECS, EKS, DynamoDB, S3, and RDS, Glue, Redshift, EMR.
Programming: Strong programming skills in languages such as Python, Java, or Node.js, Angular/React/Typescript.
CI/CD: Experience with CI/CD tools and practices, including AWS CodePipeline, CodeBuild, and CodeDeploy.
Infrastructure as Code: Familiarity with IaC tools like AWS CloudFormation or Terraform for automating application infrastructure.
Security: Understanding of AWS security best practices, including IAM, KMS, and encryption.
Observability Tools: Proficiency in using observability tools like AWS CloudWatch, AWS X-Ray, Prometheus, Grafana, and ELK Stack.
Container Orchestration: Knowledge of container orchestration concepts and tools, including Kubernetes and Docker Swarm.
Monitoring: Experience with monitoring and logging tools such as AWS CloudWatch, CloudTrail, or ELK Stack.
Collaboration: Strong teamwork and communication skills with the ability to work effectively with cross-functional teams.
Preferred Qualifications:
Certifications: AWS Certified Solutions Architect – Associate or Professional, AWS Certified Developer – Associate, or similar certifications.
Experience: 3-4 Years previous experience in an application engineering role with a focus on AWS technologies.
Agile Methodologies: Familiarity with Agile development practices and methodologies.
Problem-Solving: Strong analytical skills with the ability to troubleshoot and resolve complex issues.
Education:
Degree: Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience
For more details to apply, Click here!
DE_AWS Cloud Native -Full Stack Engineer_GDSF02
Job Requirement:
Degree: Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience
Preferred Qualifications:
Certifications: AWS Certified Solutions Architect – Associate or Professional, AWS Certified Developer – Associate, or similar certifications.
Experience: 3-4 Years previous experience in an application engineering role with a focus on AWS technologies.
Agile Methodologies: Familiarity with Agile development practices and methodologies.
Problem-Solving: Strong analytical skills with the ability to troubleshoot and resolve complex issues.
For more details to apply, Click here!
DE – GCP Cloud Native AI And Data Engineer – GDSF02
Job Description:
We are seeing huge demand in the world of cloud-native data solution skills, especially Java + and GCP. The ideal candidate will be a hands-on leader –
BE/BTech/MCA with a sound industry experience of 4 to 6 years
Years of experience on building Cloud-native data solutions preferably (with the likes of Airflow, Dataflow – Beam Java/Python, Cloud Fusion/ CDAP, other open-source frameworks etc on GCP): 3+years
Build and optimize data pipelines and ETL workflows with Python/ Java/ Go/ Scala & run on Flink, Spark, Google Cloud Dataflow (preferable)
Years of experience on building Cloud-native (AI)ML Solutions with Vertex AI for industries. The candidates need to share the Use-Case they are supporting
Integrate GenAI capabilities with data pipelines to enhance automation, insight generation, and predictive analytics.
Stay current with emerging AI technologies and explore innovative ways to embed GenAI-driven intelligence into enterprise data platforms.
Have hands on experience with Java, Python, scripting languages, Golang
Have good hands-on experience in handling entire application & container lifecycle management.
Job Responsibilities:
Foster teamwork and lead by example
Participating in the organization-wide people initiatives
Ability to travel in accordance with client and other job requirements
Excellent written and oral communication skills; writing, publishing, and conference-level presentation skills a plus
For more details to apply, Click here!