DevOps Engineer, Data Platform (AWS | Remote)

DEUNA

Ciudad de México

Remote

MXN 650,000 - 1,000,000

Full time

23 hours ago
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Benefits offered by this job

Remote work from anywhere
Stock options
Internet and cell phone stipend
Growth opportunities

Job summary

DEUNA is seeking a DevOps Engineer - Data Platform to strengthen our cloud infra, automation, and observability. You will collaborate with Data Engineering to build scalable AWS infrastructure, deploy IaC, and ensure reliability across Snowflake and MongoDB Atlas.

The role emphasizes security, cost optimization, and multi-region resilience, with a proactive automation mindset and strong cross-team collaboration.

Qualifications

  • 3–6+ years in DevOps, Cloud, or Platform Engineering.
  • Strong AWS networking and security fundamentals.
  • Experience with Snowflake and MongoDB Atlas.
  • Proficient in IaC with Terraform and AWS CDK.

Responsibilities

  • Design, manage, and optimize AWS cloud infrastructure for DevOps and Data Engineering workloads.
  • Build and maintain Infrastructure as Code using Terraform and AWS CDK; automate provisioning and deployments.
  • Improve observability: Grafana, Prometheus, Loki, Tempo, and OpenTelemetry.
  • Support and optimize data platforms (Snowflake, MongoDB Atlas) for connectivity, performance, security, and cost efficiency.
  • Drive cost optimization, reliability, and disaster recovery across AWS and data platforms.

Skills

AWS Cloud
Terraform
CI/CD pipelines
Python
Grafana
Prometheus
OpenTelemetry
Networking
SQL

Education

Bachelor's degree in Computer Science

Tools

Snowflake
MongoDB Atlas
AWS CDK
Terraform

Job description

DEUNA is seeking a DevOps Engineer - Data Platform to strengthen our cloud infra, automation, and observability. You will collaborate with Data Engineering to build scalable AWS infrastructure, deploy IaC, and ensure reliability across Snowflake and MongoDB Atlas.

The role emphasizes security, cost optimization, and multi-region resilience, with a proactive automation mindset and strong cross-team collaboration.

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