🚀 Hiring Alert: AWS Architect with Kubernetes & AI/LLM Experience (Contract to Hire) 🚀

We are seeking an AWS Architect with expertise in Kubernetes, containers, and a strong understanding of AI/LLMs (Large Language Models) to join our dynamic team. This is a contract-to-hire role, offering an exciting opportunity to design, implement, and optimize cloud-based infrastructure and solutions for cutting-edge healthcare products.

Key Responsibilities:
• Design, build, and manage scalable, reliable, and secure AWS cloud infrastructure using services like EC2, S3, Lambda, RDS, ECS, and EKS.
• Architect and deploy containerized applications using Kubernetes on AWS (EKS), ensuring high availability and fault tolerance.
• Collaborate with development teams to design and implement microservices architectures using Kubernetes and AWS services.
• Leverage AI/LLM technologies to optimize cloud infrastructure for data processing and machine learning applications.
• Integrate AI/ML models into cloud environments using tools such as TensorFlow, PyTorch, or similar frameworks.
• Optimize cloud resources for cost-efficiency, performance, and scalability.
• Implement security best practices, including data encryption, identity management, and access controls within AWS.
• Provide mentorship and guidance to junior engineers on cloud technologies, Kubernetes, and container orchestration.
• Stay current on emerging cloud and container technologies, contributing to system design improvements.

Required Qualifications:
• Proven experience as an AWS Cloud Architect with in-depth knowledge of AWS services and best practices.
• Hands-on experience with Kubernetes for container orchestration and management (preferably with AWS EKS).
• Proficiency in containerization technologies like Docker and Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
• Strong scripting skills in Python, Shell, or Go for automation and infrastructure management.
• Experience designing scalable, reliable, and cost-effective cloud architectures.
• Familiarity with CI/CD pipelines and DevOps best practices.
• AI/ML exposure, including deploying Large Language Models (LLMs) or other machine learning models in cloud environments.
• Strong problem-solving skills with the ability to troubleshoot complex cloud infrastructure issues.

Preferred Qualifications:
• Healthcare industry experience with knowledge of healthcare data regulations (e.g., HIPAA compliance).
• Experience with serverless computing (AWS Lambda, API Gateway).
• Certifications such as AWS Certified Solutions Architect or AWS Certified DevOps Engineer.
• Knowledge of data engineering principles, including data lakes, ETL processes, and data warehousing.

Eligibility:
• Open to Green Card Holders and U.S. Citizens only.

📍 Location Requirement:
Candidates should ideally reside in MA, GA, TX, FL, NH, CT, or PA and be open to visiting clients on-site if needed.

📩 How to Apply:
Send your resume to admin@cloverlytech.com and be part of a team shaping the future of healthcare through innovative technology!

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