DevOps Engineer - Cloud Automation & Scale

Marvik; Entre Ríos; On-site; ARS 90,873,000 - 145,397,000; Full time

Job summary

Marvik in Argentina is hiring a DevOps Engineer to scale infrastructure and automate CI/CD, focusing on automation, scalability, and high-impact technical challenges for international growth.

You will implement IaC, optimize deployments, and collaborate with development teams to enable growth while ensuring security and reliability across cloud environments using Terraform, AWS, Docker, and Kubernetes.

Qualifications

• Hands-on experience with infrastructure as code (Terraform/CloudFormation).
• Familiarity with monitoring & alerting tools (ELK, NewRelic).
• Configuration management (Ansible, Puppet, Chef, Rundeck).
• Solid experience with AWS services (EC2, VPC, S3, Route 53, RDS, EKS, ECS, Lambda).
• Docker and container experience.
• Kubernetes or similar container orchestration tools.
• CI/CD pipelines (GitHub Actions, Jenkins, GitLab, etc.).
• Strong Linux administration skills.
• Awareness of cloud security best practices.

Responsibilities

• Scaling our infrastructure to support international growth.
• Collaborating closely with engineers in the development process.
• Automating infrastructure, improving performance, and enabling auto-scaling.
• Designing solutions with high availability, redundancy, and security in mind.
• Deploying and managing Infrastructure as Code using tools like Terraform, CloudFormation, Ansible, Jenkins

Skills

CI/CD pipelines

Linux administration

Cloud security best practices

Tools

Terraform

CloudFormation

Ansible

Puppet

Chef

Rundeck

Docker

Kubernetes

Jenkins

GitHub Actions

GitLab CI

ELK

New Relic

AWS

Job description

Marvik in Argentina is hiring a DevOps Engineer to scale infrastructure and automate CI/CD, focusing on automation, scalability, and high-impact technical challenges for international growth.

You will implement IaC, optimize deployments, and collaborate with development teams to enable growth while ensuring security and reliability across cloud environments using Terraform, AWS, Docker, and Kubernetes.