岗位分析 · R2R 远程站

高级站点可靠性工程师 Senior Site Reliability Engineer

公司Camunda

薪资United States: $149,800.00 to $241,500.00; United Kingdom: £94,100.00 to £154,700.00; Singapore: S$186,100.00 to S$279,100.00; Canada: C$159,100 to C$261,600

岗位性质全职

要求地区全球

经验要求不限

发布时间2026-09-21

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岗位来自公开渠道，时效性以官网为准。反馈失效？

运维开发技术

🤖 AI 速读

深入 Kubernetes 生产环境实操经验
精通 Terraform 等 IaC 工具
熟悉 Prometheus/Grafana 监控可观测性

完整 JD

岗位描述

We're looking for a Senior Site Reliability Engineer who's passionate about building reliable, scalable infrastructure that helps developers ship better software faster.
我们正在寻找一位高级站点可靠性工程师，热衷于构建可靠、可扩展的基础设施，帮助开发者更快地交付更好的软件。
You'll design and maintain our Kubernetes-based multi-cloud platform, improve our monitoring and observability tools, and collaborate with product and engineering teams to solve real problems in real time.
你将设计并维护我们基于 Kubernetes 的多云平台，改进我们的监控和可观测性工具，并与产品和工程团队协作，实时解决实际问题。
This is a role where you'll own the systems that power Camunda, drive automation that raises the bar for everyone, and mentor others who want to do the same.
在这个岗位上，你将负责支撑 Camunda 的系统，推动自动化以提升所有人的标准，并指导希望同样做到的其他人。
Design and maintain our infrastructure – You'll evolve our Kubernetes-based, multi-cloud platform architecture, ensuring it's available, scalable, and fault-tolerant.
设计并维护我们的基础设施——你将演进我们基于 Kubernetes 的多云平台架构，确保其可用、可扩展且容错。
You'll establish configuration best practices and network services that our teams rely on.
你将建立我们团队所依赖的配置最佳实践和网络服务。
Build observability that matters – Implement and improve monitoring and alerting tools that give both SREs and developers real visibility into system health and performance.
构建重要的可观测性——实施并改进监控和告警工具，让 SRE 和开发者都能真正了解系统健康状况和性能。
Make it easy for teams to understand what's happening across our stack.
让团队能够轻松了解我们整个技术栈中正在发生的事情。
Own your systems end-to-end – You'll adopt a "you build it, you run it" mentality, which means participating in on-call rotations and being the go-to person when things need quick fixes.
端到端负责你的系统——你将秉持“你构建，你运维”的心态，这意味着参与值班轮换，并在需要快速修复时成为关键人物。
You'll create runbooks and automation that turn complex problems into manageable processes.
你将创建运行手册和自动化流程，将复杂问题转化为可管理的流程。
Ship features and improvements with product teams – Work cross-functionally with product engineering, product management, and support to define and deliver features that move the needle.
与产品团队一起交付功能和改进——与产品工程、产品管理和支持团队跨职能合作，定义并交付能够产生实际影响的功能。
Bring your expertise to the table early and often.
尽早且经常地贡献你的专业知识。
Push automation to the next level – Identify repetitive work and automate it away.
将自动化推向新高度——识别重复性工作并将其自动化消除。
Share what you learn with your teammates so everyone gets better at their craft.
与队友分享你所学到的，让每个人都能提升自己的技艺。
We measure progress by the quality of our systems, not hours worked.
我们以系统的质量而非工作时长来衡量进展。
Be the expert others learn from – Help less experienced engineers tackle complex infrastructure challenges.
成为他人学习的专家——帮助经验较少的工程师应对复杂的基础设施挑战。
Break down technical problems into clear steps and support others in growing their skills.
将技术问题分解为清晰的步骤，并支持他人提升技能。

岗位要求

Deep hands-on experience with Kubernetes – You've built, deployed, and maintained Kubernetes clusters in production environments.
深入的 Kubernetes 实操经验——你曾在生产环境中构建、部署和维护 Kubernetes 集群。
You understand how to manage workloads, networking, and storage at scale.
你了解如何大规模管理工作负载、网络和存储。
Infrastructure as code expertise – You're fluent in tools like Terraform (or similar IaC tools) and know how to version, test, and safely deploy infrastructure changes.
基础设施即代码专长——你精通 Terraform（或类似 IaC 工具），并知道如何对基础设施变更进行版本控制、测试和安全部署。
Demonstrated experience in monitoring and observability – You've worked with tools like Prometheus, Grafana, or similar platforms to instrument systems and alert on what matters.
具备监控和可观测性的实际经验——你曾使用 Prometheus、Grafana 或类似平台来对系统进行埋点并对重要事项告警。
Strong 3rd-level support and incident response skills – You've responded to production incidents, diagnosed complex issues, and communicated clearly with stakeholders under pressure.
强大的三级支持和事件响应能力——你曾响应生产事件、诊断复杂问题，并在压力下与利益相关者清晰沟通。
You understand root cause analysis and how to prevent issues from happening again.
你了解根因分析以及如何防止问题再次发生。
A passion for automation and raising the quality bar – You see manual work as a problem to be solved.
对自动化和提升质量标准的热情——你将手动工作视为需要解决的问题。
You care deeply about building systems that are reliable, maintainable, and easy to understand.
你深切关注构建可靠、可维护且易于理解的系统。
Responsible use of AI tools – You leverage AI for research, code review, documentation, test generation, and automation to improve your effectiveness.
负责任地使用 AI 工具——你利用 AI 进行研究、代码审查、文档编写、测试生成和自动化，以提高效率。
You know how to validate AI outputs against requirements, never share confidential or personal data with AI systems without authorization, and always retain human accountability for decisions and deliverables.
你知道如何根据需求验证 AI 输出，未经授权绝不与 AI 系统共享机密或个人数据，并始终对决策和交付成果保留人类责任。
Experience with major cloud providers – You've worked with AWS (EKS), Google Cloud Platform (GKE), or similar managed Kubernetes services.
主要云服务商经验——你曾使用 AWS (EKS)、Google Cloud Platform (GKE) 或类似托管 Kubernetes 服务。
ArgoCD or GitOps workflows – You've used declarative, Git-driven infrastructure management to keep systems in sync.
ArgoCD 或 GitOps 工作流——你曾使用声明式、Git 驱动的基础设施管理来保持系统同步。
Proficiency in Python, Go, or similar languages – You write scripts and automation tools that solve real problems.
精通 Python、Go 或类似语言——你编写解决实际问题的脚本和自动化工具。
Experience with SLOs and alerting frameworks – You've helped teams define meaningful service level objectives and set up alerts that don't cry wolf.
SLO 和告警框架经验——你曾帮助团队定义有意义的服务级别目标，并设置不会误报的告警。

We're looking for a Senior Site Reliability Engineer who's passionate about building reliable, scalable infrastructure that helps developers ship better software faster.
我们正在寻找一位高级站点可靠性工程师，热衷于构建可靠、可扩展的基础设施，帮助开发者更快地交付更好的软件。
You'll design and maintain our Kubernetes-based multi-cloud platform, improve our monitoring and observability tools, and collaborate with product and engineering teams to solve real problems in real time.
你将设计并维护我们基于 Kubernetes 的多云平台，改进我们的监控和可观测性工具，并与产品和工程团队协作，实时解决实际问题。
This is a role where you'll own the systems that power Camunda, drive automation that raises the bar for everyone, and mentor others who want to do the same.
在这个岗位上，你将负责支撑 Camunda 的系统，推动自动化以提升所有人的标准，并指导希望同样做到的其他人。
Design and maintain our infrastructure – You'll evolve our Kubernetes-based, multi-cloud platform architecture, ensuring it's available, scalable, and fault-tolerant.
设计并维护我们的基础设施——你将演进我们基于 Kubernetes 的多云平台架构，确保其可用、可扩展且容错。
You'll establish configuration best practices and network services that our teams rely on.
你将建立我们团队所依赖的配置最佳实践和网络服务。
Build observability that matters – Implement and improve monitoring and alerting tools that give both SREs and developers real visibility into system health and performance.
构建重要的可观测性——实施并改进监控和告警工具，让 SRE 和开发者都能真正了解系统健康状况和性能。
Make it easy for teams to understand what's happening across our stack.
让团队能够轻松了解我们整个技术栈中正在发生的事情。
Own your systems end-to-end – You'll adopt a "you build it, you run it" mentality, which means participating in on-call rotations and being the go-to person when things need quick fixes.
端到端负责你的系统——你将秉持“你构建，你运维”的心态，这意味着参与值班轮换，并在需要快速修复时成为关键人物。
You'll create runbooks and automation that turn complex problems into manageable processes.
你将创建运行手册和自动化流程，将复杂问题转化为可管理的流程。
Ship features and improvements with product teams – Work cross-functionally with product engineering, product management, and support to define and deliver features that move the needle.
与产品团队一起交付功能和改进——与产品工程、产品管理和支持团队跨职能合作，定义并交付能够产生实际影响的功能。
Bring your expertise to the table early and often.
尽早且经常地贡献你的专业知识。
Push automation to the next level – Identify repetitive work and automate it away.
将自动化推向新高度——识别重复性工作并将其自动化消除。
Share what you learn with your teammates so everyone gets better at their craft.
与队友分享你所学到的，让每个人都能提升自己的技艺。
We measure progress by the quality of our systems, not hours worked.
我们以系统的质量而非工作时长来衡量进展。
Be the expert others learn from – Help less experienced engineers tackle complex infrastructure challenges.
成为他人学习的专家——帮助经验较少的工程师应对复杂的基础设施挑战。
Break down technical problems into clear steps and support others in growing their skills.
将技术问题分解为清晰的步骤，并支持他人提升技能。

【岗位要求】
Deep hands-on experience with Kubernetes – You've built, deployed, and maintained Kubernetes clusters in production environments.
深入的 Kubernetes 实操经验——你曾在生产环境中构建、部署和维护 Kubernetes 集群。
You understand how to manage workloads, networking, and storage at scale.
你了解如何大规模管理工作负载、网络和存储。
Infrastructure as code expertise – You're fluent in tools like Terraform (or similar IaC tools) and know how to version, test, and safely deploy infrastructure changes.
基础设施即代码专长——你精通 Terraform（或类似 IaC 工具），并知道如何对基础设施变更进行版本控制、测试和安全部署。
Demonstrated experience in monitoring and observability – You've worked with tools like Prometheus, Grafana, or similar platforms to instrument systems and alert on what matters.
具备监控和可观测性的实际经验——你曾使用 Prometheus、Grafana 或类似平台来对系统进行埋点并对重要事项告警。
Strong 3rd-level support and incident response skills – You've responded to production incidents, diagnosed complex issues, and communicated clearly with stakeholders under pressure.
强大的三级支持和事件响应能力——你曾响应生产事件、诊断复杂问题，并在压力下与利益相关者清晰沟通。
You understand root cause analysis and how to prevent issues from happening again.
你了解根因分析以及如何防止问题再次发生。
A passion for automation and raising the quality bar – You see manual work as a problem to be solved.
对自动化和提升质量标准的热情——你将手动工作视为需要解决的问题。
You care deeply about building systems that are reliable, maintainable, and easy to understand.
你深切关注构建可靠、可维护且易于理解的系统。
Responsible use of AI tools – You leverage AI for research, code review, documentation, test generation, and automation to improve your effectiveness.
负责任地使用 AI 工具——你利用 AI 进行研究、代码审查、文档编写、测试生成和自动化，以提高效率。
You know how to validate AI outputs against requirements, never share confidential or personal data with AI systems without authorization, and always retain human accountability for decisions and deliverables.
你知道如何根据需求验证 AI 输出，未经授权绝不与 AI 系统共享机密或个人数据，并始终对决策和交付成果保留人类责任。
Experience with major cloud providers – You've worked with AWS (EKS), Google Cloud Platform (GKE), or similar managed Kubernetes services.
主要云服务商经验——你曾使用 AWS (EKS)、Google Cloud Platform (GKE) 或类似托管 Kubernetes 服务。
ArgoCD or GitOps workflows – You've used declarative, Git-driven infrastructure management to keep systems in sync.
ArgoCD 或 GitOps 工作流——你曾使用声明式、Git 驱动的基础设施管理来保持系统同步。
Proficiency in Python, Go, or similar languages – You write scripts and automation tools that solve real problems.
精通 Python、Go 或类似语言——你编写解决实际问题的脚本和自动化工具。
Experience with SLOs and alerting frameworks – You've helped teams define meaningful service level objectives and set up alerts that don't cry wolf.
SLO 和告警框架经验——你曾帮助团队定义有意义的服务级别目标，并设置不会误报的告警。