Aws Cloud Native Ai Engineer/architect-f2f Inteview-26th April-hyd
- EY
- 4 - 9 years
- Hyderabad
- 2 months ago
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Job Description
Hi,
Urgent opening for AWS Cloud Native AI Engineer/Architect with EY GDS at Hyderabad Location.
Please apply if Available for F2F on 26th April 2025.
Basis your availability we will be sharing invites post your application.
https://careers.ey.com/job-invite/1597580/
EXP :4-13 Yrs
Location: Hyderabad - 5 Days Working from Office.
Mandatory Skills:
- Python/ Java
- AWS
- React / Angular
- Gen AI/ AI / Artificial Intelligence/ Machine Learning/ Deep Learning/Automation/Agent based Automation
- Full stack
Required Skills:
- AWS Services: Proficiency in AWS services such as Lambda, API Gateway, ECS, EKS, DynamoDB, S3, and RDS, Glue, Redshift, EMR.
- Backend: Python (multithreading, Flask, FastAPI), NodeJS, ExpressJS, REST APIs
- Frontend: Angular, ReactJS, TypeScript
- Cloud Engineering : Development with AWS (Lambda, EC2, S3, API Gateway, DynamoDB), Docker, Git, etc.
- Proven experience in developing and deploying AI solutions with Python, JavaScript
- Strong background in machine learning, deep learning, and data modelling.
- Good to have: CI/CD pipelines, full-stack architecture, unit testing, API integration
- 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.
Preferred Qualifications:
- Certifications: AWS Certified Solutions Architect Associate or Professional, AWS Certified Developer Associate, or similar certifications.
- Experience: At least 3Years of 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: Bachelors degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience
Job Classification
Industry: Management ConsultingFunctional Area / Department: Engineering - Software & QA,
Role Category: Software Development
Role: Full Stack Developer
Employement Type: Full time
Contact Details:
Company: EYLocation(s): Hyderabad
Keyskills: Full Stack Al aws React.Js Python GEN AI Java Natural Language Processing Machine Learning Deep Learning Angular Artificial intelligence ML
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