Cloud Engineer

Tential Solutions; Ciudad de México; On-site; MXN 900,000 - 1,200,000; Full time

Job summary

Tential Solutions is seeking a Cloud Systems Engineer II to design, deploy, automate, and support scalable enterprise infrastructure across AWS and GCP.

The role requires deep AWS expertise, Terraform infrastructure-as-code, Python automation, CI/CD pipelines, Linux administration, and container technologies. You will mentor junior engineers and help set engineering standards while collaborating with security, networking, and development teams.

Qualifications

• Hands-on cloud engineering with AWS and GCP in enterprise environments.
• Strong Terraform practices for IaC, state management, and policy enforcement.
• Proficient in Python scripting for automation and tooling.
• Linux administration and networking fundamentals essential.

Responsibilities

• Architect, deploy, and maintain scalable infra across AWS and GCP.
• Develop and manage Terraform modules and policy enforcement.
• Build automation tools and internal platforms with Python.
• Design and improve CI/CD pipelines using GitHub Actions.
• Monitor performance, participate in on-call rotation, compose post-incident reviews.
• Collaborate with security, networking, and development teams.

Skills

Cloud systems engineering

AWS expertise

CI/CD practices

Linux administration

Networking fundamentals

Python automation

Communication skills

Tools

Terraform

GitHub Actions

Docker

Kubernetes (EKS)

Job description

Location: Santa Fe, Mexico City (100% on-site)

Tential is seeking a Cloud Systems Engineer II with broad systems-infrastructure and programming experience to design, deploy, automate, and support scalable enterprise infrastructure across public cloud and related environments. The ideal candidate combines strong AWS expertise with infrastructure-as-code, Python automation, CI/CD, Linux administration, networking fundamentals, and container technologies.

Responsibilities

• Architect, deploy, and maintain scalable, highly available infrastructure across AWS and GCP using cloud-native best practices.
• Manage infrastructure as code with Terraform, including module development, state management, policy enforcement, and review of infrastructure changes.
• Develop and maintain automation tooling and internal platforms using Python to reduce manual operational work.
• Design and continuously improve CI/CD pipelines using GitHub Actions and GitHub workflows.
• Monitor system performance and availability, participate in an on-call rotation, and contribute to post-incident reviews and reliability improvements.
• Collaborate with development, security, and networking teams to evaluate and adopt new cloud services and technologies.
• Mentor junior and mid-level engineers and help establish standards for code quality and engineering practices.
• Create and maintain technical documentation, runbooks, and architecture decision records.

Required Qualifications

• Hands-on cloud engineering experience with significant depth in AWS services such as EC2, ECS/EKS, RDS, EBS, S3, Lambda, IAM, and VPC, plus working knowledge of GCP.
• Strong Terraform experience, including module development, state management, policy enforcement, and infrastructure-as-code review practices.
• Strong GitHub experience, including pull requests, branch strategy, GitHub Actions, workflows, and repository management.
• Strong Python scripting and automation skills, with the ability to write clean, tested, maintainable code.
• Proficiency with Linux system administration and networking fundamentals including TCP/IP, DNS, load balancing, and firewalls.
• Hands-on experience with Docker and Kubernetes, including EKS or comparable managed Kubernetes services.
• Strong understanding of CI/CD principles and experience building or maintaining delivery pipelines.
• Experience designing cloud-native environments for high availability, fault tolerance, and cost optimization.
• Strong communication skills and the ability to explain complex infrastructure topics to technical and non-technical stakeholders.

Preferred Qualifications

• Experience with configuration-management tools such as Ansible or Puppet.
• Familiarity with observability platforms such as Datadog, Grafana, Prometheus, Checkmk, or equivalent.
• Knowledge of service mesh or advanced networking patterns such as AWS Transit Gateway, PrivateLink, or GCP VPC peering.
• Experience in gaming, media, or another high-throughput or latency-sensitive industry.
• Experience with cloud cost-management tooling or FinOps practices in large AWS environments.