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SR DevOps

Project Description

We are looking for Sr DevOps Engineer  in LATAM to work remotely on a project for one of our Clients in the US.

As a DevOps Engineer, you will build, manage and support the technology infrastructure necessary to support Company technology platform.

You will use AWS, Terraform, and other technologies to build a scalable, efficient infrastructure for our platform.

You will create, implement and improve on monitoring, alerts, and security practices for the Company.

You will collaborate with our Engineering and other teams to ensure that we are making the best strategic decisions as it pertains to our technology infrastructure

and technology operations practices.

 

Responsibilities

  • Build, manage and support highly resilient, scalable microservice-based systems to support
    business needs.
  • Build and deploy infrastructure in AWS, using infrastructure as code tools such as Terraform and
    Packer.
  • Manage Services ranging from RDS Postgres Databases, to GitHub Actions, to Kafka MQ and all
    points in between.
  • Develop and improve monitoring and incident alerting systems as part of a comprehensive
    approach to outages and site performance.
  • Collaborate with engineers on overall system architecture while considering availability, scaling,
    and maintainability.
  • Constantly work to identify and mitigate security concerns, performance gaps, and scalability
    bottlenecks
  • Contribute to formal development and adoption of organizational policies

 

Requirements

  • 3+ years of hands-on experience building, managing, and scaling 24/7 cloud infrastructures,
    using both AWS and Terraform
  • 5+ years of Linux Systems Engineering experience.
  • Solid Database skills – RDS, Postgres.
  • Scripting in Python & shell scripts.
  • Experience managing the following in Production.
    • Containerization (Docker) and container orchestration services (ECS, Kubernetes, etc.).
    • Java Application Severs (in a microservices architecture environment).
    • Messaging Systems – Kafka, Zookeeper.
  • Monitoring – DataDog, CloudWatch, Nagios.


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