Devops/Cloud Engineer

Location - Mexico, Colombia or Argentina (remote)

Role Overview

We're looking for an experienced DevOps / Cloud Engineer to join our global DevOps team. You'll be part of a core group responsible for the reliability, scalability, and automation of our multi-cloud SaaS platform running in AWS and Azure. The environment supports hundreds of enterprise tenants and requires exceptional operational maturity, automation, and observability.

Key Responsibilities

Design, implement, and maintain CI/CD pipelines using GitOps principles (GitHub Actions, ArgoCD, etc.)

Drive automation across infrastructure provisioning, deployments, and operational workflows

Own and improve observability and monitoring, leveraging Elastic Stack or equivalent (Prometheus, Grafana, Datadog)

Develop tools and scripts (Python, Go, Bash, PowerShell) to enhance developer experience and efficiency

Manage and optimize Kubernetes infrastructure using Helm, Argo, and KEDA

Implement and maintain infrastructure-as-code across multi-cloud environments (AWS, Azure)

Participate in on-call rotations ensuring platform reliability and fast incident response

Perform root-cause analysis and postmortems for infrastructure or software failures

Collaborate closely with engineering teams to embed operational excellence and reliability into the product

Qualifications

Minimum 5 years of experience as a DevOps, SRE, or Cloud Engineer in a production SaaS environment

Strong hands-on experience with Kubernetes, Helm, and Argo

Proficient in YAML, Bash, Python, and Go

Deep understanding of CI/CD pipelines, Git, and GitOps workflows

Experience with monitoring and observability tools such as Elastic Stack, Prometheus, or Datadog

Solid understanding of AWS and/or Azure cloud services

Excellent problem-solving skills, especially in debugging distributed systems

Strong communication and collaboration skills with a DevOps mindset

Nice to Have

Experience with Terraform or Pulumi

Exposure to service mesh and secrets management solutions

Familiarity with cost optimization and performance tuning across cloud environments

Originally posted on Himalayas