Senior Site Reliability Engineer – AI-Powered Cloud Ops (Remote)

Sovos; San Miguel de Tucumán; Presencial; ARS 1.800.000 - 2.600.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Comprehensive Health Insurance

Life Insurance

Monthly Meal Vouchers

Gym Membership Subsidy

Language Learning Support

Descripción de la vacante

Sovos is hiring a Site Reliability Engineer III to optimize and scale our SaaS platforms globally. You will own configuration management across cloud environments, support deployment pipelines, and partner with development teams to improve reliability and performance.

The role emphasizes AI-assisted automation, modern monitoring, and collaboration in an agile setup. Strong English communication and on-call readiness are required.

Formación

• Requires experience with SaaS platforms and cloud infrastructure.
• Experience with monitoring, deployment, and data storage in cloud environments.
• Familiarity with CI/CD tooling and IaC (Terraform, CloudFormation, Puppet).
• Ability to work in an Agile team and communicate technical concepts clearly.

Responsabilidades

• Define and implement configurations for SaaS environments and infrastructure.
• Maintain applications and tools across the SDLC in collaboration with development teams.
• Work in an Agile team to develop software solutions and guide configuration management practices.
• Continuously evaluate and improve configuration management to boost reliability and efficiency.
• Leverage AI-powered tools to enhance operational efficiency and incident response.

Conocimientos

SaaS technologies

SDLC processes

Cloud infrastructure

Application monitoring

Data storage

PowerShell

Python

Go

Git

Azure DevOps

Terraform

CloudFormation

Puppet

Grafana

Nagios

AI-assisted workflows

Herramientas

Git

PowerShell

Python

Go

Descripción del empleo

Sovos is hiring a Site Reliability Engineer III to optimize and scale our SaaS platforms globally. You will own configuration management across cloud environments, support deployment pipelines, and partner with development teams to improve reliability and performance.

The role emphasizes AI-assisted automation, modern monitoring, and collaboration in an agile setup. Strong English communication and on-call readiness are required.