Devops/Cloud Engineer
位置 - 墨西哥，哥伦比亚或阿根廷 （远程）角色概述 我们正在寻找一个经验丰富的 DevOps /云工程师加入我们的全球 DevOPS 团队。你将成为负责 AWS 和 Azure 运行的多云 SaaS 平台可靠性，扩展性和自动化核心组的一部分。环境支持数百家企业租户，需要卓越的操作成熟度，自动化和可观察性。关键责任 ·设计，实施和维护使用 GitOps 原则的 CI/CD 管道 （GitHub Actions,ArgoCD 等）. · 在基础设施配置，部署和运营工作流中驱动自动化 · 拥有和改进可观测性和监控，利用 Elastic Stack 或相等 (Prometheus, Grafana, Datadog) ·开发工具和脚本 (Python, Go, Bash, PowerShell) 来提高开发人员体验和效率 ·使用 Helm, Argo 和 KEDA 管理和优化 Kubernetes 基础设施 · 在多云环境中实现和维护基础设施作为代码 (AWS, Azure) ·参与在线旋转确保平台的可靠性和快速事件响应 ·执行基础设施或软件故障的根源分析和后检查 ·密切合作与工程团队嵌入运营卓越性和可靠性产品资格 · 具有强大的实践经验，与 Kubernetes, Helm 和 Argo 一起工作 ·熟练掌握 YAML, Bash,Python 和 Go ·深入了解 CI/CD 管道，Git 和 GitOps 的工作流程 ·有经验监测和可观察工具的经验，如 Elastic Stack,Prometheus 或 Datadog ·对 AWS 和/或 Azure 云服务的坚实的理解 ·擅长解决问题，特别是调试分布式系统的能力 ·与 DevOps 思维方式进行强烈沟通和合作 ·拥有 Terraform 或 Pulumi 网络体验 ·接触到服务和秘密管理解决方案 · 熟悉成本优化和云环境性能调整 原创发布在喜马拉雅地区
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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