Senior AWS Cloud AI Engineer
Tus tareas
Design, develop, and deploy cloud-native applications and services on the AWS platform, including but not limited to:
- EC2, Lambda, ECS/EKS, S3, RDS, DynamoDB
- Serverless computing, microservices architectures
- Containerization technologies (Docker, Kubernetes)
Develop and implement solutions using GenAI technologies such as:
- Large Language Models (LLMs)
- Machine Learning (ML) models
Integrate GenAI capabilities into existing and new applications to enhance user experience, automate tasks, and gain valuable insights.
Develop and maintain CI/CD pipelines for automated deployments and infrastructure provisioning (e.g., using AWS CodePipeline, CodeBuild, CodeDeploy).
Troubleshoot and resolve production issues related to cloud infrastructure and applications.
Mentor junior engineers and contribute to the growth of the team.
Collaborate with cross-functional teams (e.g., data science, product, engineering) to deliver successful projects.
Tu perfil - 7+ years of experience in software solutions
- Experience in AWS Cloud.
- Proven experience in designing, building, and deploying cloud-native applications on the AWS platform.
- Strong understanding of AWS services, including EC2, Lambda, ECS/EKS, S3, RDS, DynamoDB, and other relevant services.
- Solid experience with containerization technologies (Docker, Kubernetes).
- Experience with CI/CD pipelines and automation tools (e.g., AWS CodePipeline, CodeBuild, CodeDeploy).
- Experience with at least one programming language (e.g., Python, Java, Node.js).
- Strong understanding of software development principles, including object-oriented programming, design patterns, and testing methodologies.
- Experience with at least one of the following:
- Large Language Models (LLMs)
- Machine Learning (ML) models
- Experience with developing and deploying machine learning models in a cloud environment is a plus.
- Strong problem-solving and analytical skills with the ability to troubleshoot complex issues.
- Excellent communication and collaboration skills.
AWS Certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer) are a plus.
- 7+ years of experience in software solutions
- Experience in AWS Cloud.
- Proven experience in designing, building, and deploying cloud-native applications on the AWS platform.
- Strong understanding of AWS services, including EC2, Lambda, ECS/EKS, S3, RDS, DynamoDB, and other relevant services.
- Solid experience with containerization technologies (Docker, Kubernetes).
- Experience with CI/CD pipelines and automation tools (e.g., AWS CodePipeline, CodeBuild, CodeDeploy).
- Experience with at least one programming language (e.g., Python, Java, Node.js).
- Strong understanding of software development principles, including object-oriented programming, design patterns, and testing methodologies.
- Experience with at least one of the following:
- Large Language Models (LLMs)
- Machine Learning (ML) models
- Experience with developing and deploying machine learning models in a cloud environment is a plus.
- Strong problem-solving and analytical skills with the ability to troubleshoot complex issues.
- Excellent communication and collaboration skills.
AWS Certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer) are a plus.
Contacto e información adicional
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