24 Cloud Engineer jobs in Mexico available for remote work from home. Apply for positions such as Cloud Engineer, Cloud Engineer Azure Databricks, Cloud Engineer Azure Databricks and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Cloud Engineer will provision and manage Azure infrastructure while authoring and maintaining Terraform modules. They will also configure private endpoints and manage CI/CD pipelines to ensure seamless delivery across multiple workstream teams.
Design, implement, and administer the Azure foundation and Databricks platform, including managing infrastructure as code via Terraform. Oversee security, networking, data lake architecture, and machine learning infrastructure to ensure high-performance and cost-effective operations.
You will design, implement, and administer the Azure infrastructure foundation for the enterprise data and AI platform, focusing on Databricks and related services. This role involves setting architectural standards, managing infrastructure as code, and partnering with data engineering and science teams to ensure platform reliability and performance.
Design and maintain automation frameworks to streamline security processes and manage AWS resources using Terraform. Implement serverless workflows and leverage AWS security services to enhance cloud infrastructure and CI/CD pipelines.
Design and maintain automation frameworks and scripts to streamline security processes using AWS serverless architectures. Deploy secure, scalable infrastructure via Terraform and integrate security automation into CI/CD pipelines.
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Design, build, and maintain secure and scalable cloud infrastructure across GCP and Azure using Infrastructure as Code. Provide technical leadership, establish engineering standards, and mentor junior engineers to drive cloud modernization.
The role involves managing the full lifecycle of security findings, from triage to remediation, while implementing systemic fixes like policy-as-code. You will also secure modern authentication flows and harden Microsoft Entra ID configurations to ensure a robust cloud security posture.
The role focuses on the full lifecycle of cloud security remediation, including root-cause analysis and the implementation of systemic fixes. You will be responsible for hardening identity flows, managing Azure security policies, and securing AI workloads.
The Cloud Infrastructure Engineer will support, deploy, and maintain Azure-based cloud environments to ensure system reliability, scalability, and performance. They will also collaborate with cross-functional teams to manage infrastructure deployments, monitor system health, and implement security best practices.
The Senior Software Engineer will collaborate with cross-functional teams to deliver AI-first, production-ready client software solutions on AWS. They will participate in discovery sessions, contribute to technical decision-making, and automate AI-driven testing processes.
The Senior Systems Engineer will design, deploy, and maintain hybrid cloud and on-premises infrastructure while resolving complex technical incidents. They will also develop automation solutions and provide technical guidance to ensure operational efficiency and security compliance.
You will design, deploy, and govern secure multi-cloud infrastructure across Azure, AWS, and GCP while managing hybrid connectivity and IT/OT network segmentation. Additionally, you will build automated CI/CD pipelines, implement FinOps practices, and develop self-service platform capabilities for internal engineering teams.
The role involves assessing on-premises hosts and planning the migration of workloads to cloud infrastructure. It also requires executing testing, optimizing migrated workloads, and designing automation frameworks for large-scale migrations.
Architect and deliver end-to-end enterprise cloud solutions on AWS and Azure, focusing on hybrid and multi-cloud designs. Lead cloud migration and modernization programs while managing IaC frameworks and DevSecOps patterns.
Design and manage secure, scalable cloud network architectures primarily in GCP with integrations into Microsoft Azure. Implement infrastructure automation using IaC and maintain operational excellence through performance monitoring and troubleshooting.
Design, develop, and maintain automation frameworks and scripts to streamline security processes and workflows. Manage AWS infrastructure using Terraform and implement serverless automation to enhance cloud security and compliance.
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The mission involves developing all necessary tasks for the correct implementation and integration of commercialized products, including deployment on platforms like Kubernetes and OpenStack. Responsibilities include identifying client requirements, deploying solution components, performing testing, troubleshooting post-deployment, and collaborating on GitOps workflows.
You will refine and harden the existing Infrastructure-as-Code framework while building an AI-enabled self-service layer for infrastructure delivery. This role involves standardizing Terraform modules, automating governance, and integrating CI/CD pipelines to empower developer teams.
The Data Analytics Engineer will manage the operational health, architecture intelligence, and cost optimization of cloud environments. They will develop dashboards and reporting to provide visibility into cloud spend and engineering metrics for leadership.
Monitor and respond to security alerts and incidents while managing security controls across on-premise and Google Cloud environments. Collaborate with infrastructure and network teams to perform vulnerability analysis and support continuous improvement projects.
You will adapt and stabilize a high-quality AA Unreal Engine 5 game for a Linux-based cloud streaming platform. This involves integrating platform SDKs, optimizing performance across CPU and GPU budgets, and building diagnostic tooling for cloud-native workflows.
Design, develop, and maintain scalable backend and frontend functionalities using C#/.NET and React. Collaborate with cross-functional teams to optimize application performance and implement CI/CD pipelines.
The Manager will oversee a team of engineers to build and support cloud applications, drive cloud maturity, and collaborate with engineering teams on expansion projects. They will also refine operational processes and maintain the cloud roadmap.
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