Devops/Cloud Engineer

๐Ÿข Alcor ยท all Alcor jobs
๐Ÿ“ Mexico
๐Ÿ“… Posted 2026-08-22 ยท via Himalayas
๐Ÿท DevOps-Engineer,Cloud-Engineer,Site-Reliability-Engineer,Platform-Engineer,Infrastructure-Engineer,Cloud-DevOps-Engineer,CloudOps-Engineer,DevOps-And-Cloud-Engineering,DevOps-Cloud-Engineering,Cloud-Operations-Engineer,AWS-DevOps-Engineer
Apply on original site โ†—

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

โ† All remote jobs