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# AWS Cloud Engineer

- **Company:** Tech Mahindra Limited
- **Location:** Juno Beach, FL, United States
- **Experience:** Expert
- **Salary:** $115,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Cloud Computing Security, Cloud Engineering, DevOps, Disaster Recovery, Fault Tolerance, Github, Identity and Access Management, Machine Learning, Azure Machine Learning, HybridCloud, Amazon Virtual Private Cloud (VPC), Cloudformation, Functional Programming, Cloudwatch, Terraform, Jenkins
- **Published:** August 31, 2026
- **Apply:** https://www.dice.com/job-detail/868357a6-4ec3-4a64-a853-c77b4c1f77f6

## About the Role

* AWS Core Services: EC2, S3, Lambda, VPC, IAM, CloudFormation.

 * AI/ML Services: SageMaker, Bedrock, Rekognition, Comprehend.

 * Cloud Security: Identity management, encryption, compliance frameworks.

 * DevOps Tools: GitHub Actions, Jenkins, Terraform, CloudWatch.

 * Migration Expertise: Hybrid cloud, workload migration, disaster recovery.

 * Strong communication and consulting skills for client-facing engagements.

"Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at ."

## Description

Role Overview We are seeking an experienced AWS AI & Cloud Engineer with 7-10 years of expertise to join our onsite team in Juno Beach. The role involves designing, implementing, and optimizing cloud-native and AI/ML solutions on AWS, ensuring scalability, security, and business impact.

Design and deploy scalable, secure, and fault-tolerant solutions on AWS.

Build, train, and deploy ML models using SageMaker, Bedrock, and related services.

Lead enterprise workload migrations from on-premises to AWS.

Implement CI/CD pipelines, Infrastructure as Code, and monitoring solutions.

Ensure adherence to IAM, encryption, and regulatory frameworks.

Partner with business teams to deliver AI-driven outcomes.


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