26 DevOps Engineer jobs in Colombia available for remote work from home. Apply for positions such as DevOps Engineer, DevOps Engineer, DevOps Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Support Engineer will provide operational and troubleshooting support for Kubernetes-based platform services and CI/CD DevSecOps frameworks. They will monitor system health, resolve customer incidents, and collaborate with development teams to ensure platform reliability and automation.
Design, implement, and maintain secure, scalable, and automated cloud infrastructure on Microsoft Azure. Collaborate with development and operations teams to troubleshoot complex infrastructure issues and optimize CI/CD workflows.
The role involves designing, implementing, and administering Kubernetes clusters in production environments while automating CI/CD processes and managing infrastructure as code. Responsibilities also include monitoring systems, collaborating with development teams, and implementing security and observability best practices.
You will be responsible for building and maintaining Google Cloud infrastructure, including Kubernetes workloads and CI/CD pipelines. Additionally, you will support data orchestration with Cloud Composer and ensure robust monitoring and logging across the platform.
You will build and maintain Google Cloud infrastructure, specifically focusing on Kubernetes workloads, CI/CD pipelines, and cloud-native monitoring. You are also responsible for supporting deployment packages and collaborating with engineering teams to ensure architectural standards are met.
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You will build and maintain Google Cloud infrastructure, specifically GKE clusters and CI/CD pipelines, using Terraform. Additionally, you will configure cloud-native monitoring and logging while collaborating with engineering teams to ensure delivery standards.
The DevOps Engineer will support Kubernetes operational tasks, including clearing backlog tickets, maintaining clusters, and deploying open-source components. They will also drive continuous improvement by refining change processes and automating operational workflows using scripting languages.
Design, build, and optimize cloud infrastructure using AI tools to accelerate automation and documentation. Manage CI/CD pipelines and ensure the performance, reliability, and observability of production environments.
The role involves administering and maintaining Kubernetes environments while implementing GitOps workflows using ArgoCD. Additionally, the engineer will develop and troubleshoot CI/CD pipelines and collaborate with technical teams to resolve operational issues.
Design, implement, and automate large-scale distributed systems while building tools to enhance availability, scalability, and efficiency. Collaborate with engineering teams to monitor environments and deliver high-quality software improvements.
The DevOps Engineer will maintain and upgrade Kubernetes clusters while supporting GitOps-based deployment workflows using GitLab and ArgoCD. They will also address operational backlog tickets, automate workflows, and collaborate with teams to improve Kubernetes processes.
You will design, build, and maintain scalable cloud infrastructure specifically optimized for AI and machine learning workloads. This involves collaborating with data scientists and AI engineers to manage CI/CD pipelines, infrastructure as code, and system observability.
Design, implement, and maintain secure Azure cloud infrastructure using Infrastructure as Code and automation tools. Collaborate with engineering teams to ensure reliable production deployments while adhering to strict healthcare security and compliance standards.
Design and implement Azure tenant platforms using Infrastructure as Code and manage CI/CD pipelines to support application delivery. Ensure governance, security, and performance optimization across cloud environments while providing technical guidance to cross-functional teams.
Design, implement, and maintain secure, scalable cloud infrastructure while managing CI/CD pipelines and containerized environments. Partner with engineering teams to ensure system reliability, performance, and effective incident response.
Design, build, and automate cloud infrastructure across AWS and GCP while supporting large-scale application migrations. Develop CI/CD pipelines and implement container platforms to streamline deployment processes and improve developer productivity.
Design, implement, and maintain scalable and secure AWS cloud infrastructure using Infrastructure as Code. Optimize CI/CD pipelines and monitor production environments to ensure platform reliability and operational excellence.
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Design and automate large-scale distributed systems to improve availability, scalability, and efficiency. Monitor production environments and collaborate with engineering teams to deliver high-quality software and reduce MTTD.
Design and maintain Azure-based cloud infrastructure and optimize CI/CD pipelines for multiple engineering squads. Focus on migrating legacy systems to cloud-native microservices while improving developer productivity and software delivery efficiency.
Design, implement, and maintain GCP infrastructure using Terraform, and develop CI/CD pipelines for automated testing and deployment. Collaborate with engineers to optimize resources and ensure infrastructure security and compliance.
Design, implement, and maintain cloud infrastructure on Google Cloud Platform using Terraform and modern CI/CD practices. Collaborate with engineering teams to ensure platform reliability, security, and operational excellence across hybrid environments.
The role involves combining software and systems engineering to build and run large-scale, distributed, and fault-tolerant systems, focusing on improving service reliability, scalability, and performance on AWS using Infrastructure as Code. Responsibilities include performance tuning, infrastructure management via code, monitoring production systems, and participating in on-call incident response with blameless postmortems.
Design, implement, and maintain scalable cloud infrastructure using Terraform and IaC practices. Optimize CI/CD pipelines and manage Kubernetes clusters to ensure high availability and efficiency.
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