Remote DevOps Engineering Technical Referent

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dLocal

πŸ“Remote - Uruguay, Argentina

Job highlights

Summary

The job description is for a DevOps Engineer position at dLocal, a company that enables global brands to collect payments in 40 countries in emerging markets. The role involves working on mission-critical applications with big clients like Netflix, Amazon, Nike, Facebook, Google & more. The job is a remote position and requires deployment automation, Infrastructure as Code with Terraform or CloudFormation, monitoring, alerting and dashboarding with ELK and NewRelic. Knowledge of configuration management tools such as Ansible, Puppet, Chef, Rundeck is required. Experience with deploying infrastructure in an AWS cloud environment is necessary.

Requirements

  • Deployment automation, Infrastructure as Code with Terraform or CloudFormation
  • Monitoring, alerting and dashboarding with ELK and NewRelic
  • Knowledge of configuration management tools such as Ansible, Puppet, Chef, Rundeck
  • Experience with deploying infrastructure in an AWS cloud environment
  • Troubleshoot and configure AWS services such as EC2, VPC, S3, Route 53, RDS, EKS, ECS, ECR, ALB, AWS Config, Step Functions, Lambda Functions, CloudFront
  • Experience with Docker and containers
  • Experience with Kubernetes or similar container orchestration toolset
  • CI/CD Pipeline toolset experience such as GitHub, GItHub Actions, Jenkins, Gitlab, automated tests, automated deployments, etc
  • Linux administration experience, understanding Linux core fundamentals and command line operations

Responsibilities

  • Scalability of our infrastructure to answer our international growth
  • Daily interaction with engineers and participate in the development process
  • Work on infrastructure automation, performance improvements and auto-scaling
  • Designing solutions focused on uptime, redundancy, DR and understand the security implications when interacting with Security and Compliance teams

Preferred Qualifications

Knowledge of security best practices for Cloud Computing environments

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