Senior AWS & Kubernetes DevOps Engineer - Remote LATAM

Bluelight; Municipio de Rincón de los Sauces; Remote; ARS 185,819,000 - 278,728,000; Full time

Benefits offered by this job

Contractor agreement

100% remote

English classes

Learning platforms

Referral program

Argentina holidays

Job summary

Darwoft is seeking a Senior DevOps Engineer to design, automate, operate, and improve the cloud infrastructure for a high-scale cybersecurity product. You’ll work with AWS, Kubernetes/EKS, Terraform, Docker, CI/CD, and observability tools, partnering closely with Software Engineering, QA, Security, and IT teams.

This role emphasizes platform engineering, automation, security, reliability, and cost optimization.

Qualifications

• Bachelor's degree in CS, SE, or related field or equivalent experience.
• Strong production AWS and Kubernetes experience.
• Terraform, Docker, CI/CD, and Linux proficiency.
• Security-minded with DevOps and platform engineering focus.

Responsibilities

• Design, build, and operate scalable cloud infrastructure on AWS.
• Develop IaC with Terraform and manage Kubernetes workloads.
• Create reliable CI/CD pipelines and automate deployments.
• Enhance observability with Prometheus, Grafana, and CloudWatch.

Skills

Platform engineering

Automation

Cloud engineering

SRE practices

High availability

Education

Bachelor's degree in Computer Science / Software Engineering / Systems Engineering or related

Tools

AWS

Kubernetes / EKS

Terraform

Docker

CI/CD (GitHub Actions / Jenkins / GitLab CI)

Linux

Ansible

Python

Bash

Prometheus

Grafana

CloudWatch

OpenSearch / Elasticsearch

ELK

Job description

Darwoft is seeking a Senior DevOps Engineer to design, automate, operate, and improve the cloud infrastructure for a high-scale cybersecurity product. You’ll work with AWS, Kubernetes/EKS, Terraform, Docker, CI/CD, and observability tools, partnering closely with Software Engineering, QA, Security, and IT teams.

This role emphasizes platform engineering, automation, security, reliability, and cost optimization.