Senior Cloud DevOps Engineer – AWS/Kubernetes, Remote

Accenture Plc; Santa Fe Capital; Remote; ARS 136,310,000 - 212,038,000; Full time

Benefits offered by this job

Contractor agreement with payment in

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft is seeking a Senior DevOps Engineer to design, automate, and operate a scalable cloud platform supporting a high‑scale cybersecurity product. You will work with AWS, Kubernetes/EKS, Terraform, Docker, CI/CD, and observability tools to improve automation, reliability, and security across distributed environments.

You will collaborate with software engineering, QA, security, and IT teams in a 100% remote LATAM setup, contributing to platform engineering and cloud cost optimization while

Qualifications

• 5+ years of hands-on DevOps/Platform Engineering experience.
• Strong proficiency with AWS, Kubernetes/EKS, Terraform, Docker.
• Experience building and maintaining CI/CD pipelines and IaC workflows.

Responsibilities

• Design, build, and operate scalable cloud infrastructure on AWS/EKS.
• Develop and maintain CI/CD pipelines with GitHub Actions or similar tools.
• Implement observability with Prometheus, Grafana, CloudWatch, and logging stacks.
• Automate deployment, release management, and infrastructure provisioning with Terraform and Ansible-like tools.

Skills

AWS

Kubernetes

Terraform

Docker

GitHub Actions

Linux

Python

Bash

Prometheus

Grafana

Education

Bachelor's degree in Computer Science

Job description

Darwoft is seeking a Senior DevOps Engineer to design, automate, and operate a scalable cloud platform supporting a high‑scale cybersecurity product. You will work with AWS, Kubernetes/EKS, Terraform, Docker, CI/CD, and observability tools to improve automation, reliability, and security across distributed environments.

You will collaborate with software engineering, QA, security, and IT teams in a 100% remote LATAM setup, contributing to platform engineering and cloud cost optimization while