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Cloud Infrastructure Engineer

hace 2 meses

Ciudad de México, Ciudad de México GFT TECHNOLOGIES SE A tiempo completo
About the Role

GFT Technologies SE is seeking a highly skilled Cloud Infrastructure Engineer to join our team. As a key member of our infrastructure team, you will be responsible for designing, implementing, and maintaining scalable and secure cloud infrastructure solutions.

Key Responsibilities
  1. Design and Implement Cloud Infrastructure

Collaborate with cross-functional teams to design and implement cloud infrastructure solutions that meet business requirements.

Ensure Scalability and Security

Design and implement scalable and secure cloud infrastructure solutions that meet business requirements.

Automate Infrastructure Provisioning

Use Infrastructure as Code (IaC) tools such as Terraform and CloudFormation to automate infrastructure provisioning.

Monitor and Optimize Performance

Monitor and optimize cloud infrastructure performance to ensure optimal resource utilization.

Collaborate with Development Teams

Collaborate with development teams to ensure smooth deployment and operation of applications in the cloud.

Requirements
  1. Advanced AWS Proficiency

Advanced proficiency in AWS services including EC2, S3, VPC, IAM, ECS, EKS.

Experience with IaC Tools

Experience with IaC tools such as Terraform and CloudFormation.

Scripting and Automation

Proficient in scripting languages such as Python, Bash, etc. to automate tasks and streamline processes.

Containerization and Orchestration

Experience with containerization using Docker and orchestration using Kubernetes.

Security in the Cloud

Strong understanding of security in the cloud and tools such as Vault or SM.

Communication and Collaboration

Excellent communication and collaboration skills to work with cross-functional teams.

Preferred Qualifications
  • Certified on AWS Certified DevOps Engineer, AWS Certified Solutions Architect, or similar
  • Python and/or C# coding skills
  • Strong problem-solving skills and experience in diagnosing and resolving complex issues in production environments