高级站点可靠性工程师 - 火山
Senior Site Reliability Engineer - Volcano
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如果你不认为自己符合以下所有条件，但仍然对该职位感兴趣，请申请。没有人能完全满足所有要求——我们寻找在某些领域特别强的候选人，并在其他领域有相关兴趣和能力。
关于该职位：
Kong 正在构建 Project Volcano，这是一个专为 Kong 工程生态系统设计的内部开发者平台。Volcano 将为团队提供按需预览环境、边缘部署、托管 PostgreSQL、认证、实时功能和存储 API，所有功能都与 Kong 产品深度集成。
作为 Volcano 的高级 SRE，你将是该平台可靠性的核心声音。该角色由首席技术官办公室（OCTO）推动，将直接与工程领导层合作，定义平台的可靠性策略。这是一个高可见度、高影响力的职位，对 Kong 下一代开发者平台有直接影响。
你将负责：
- 全面负责 Volcano 的可靠性：为 Volcano 的所有服务（边缘部署、托管 Postgres、认证、实时、存储和控制平面）定义并推动 SLO、错误预算和事件响应实践。
- 贡献平台的基础设施：设计和构建多区域 Kubernetes 基础设施、网络和数据平面，支持 Volcano 的边缘部署流程和后端即服务功能。
- 构建 GitOps 和 CI/CD 基础：使用 ArgoCD、Helm 和 Terraform/Terragrunt 建立部署自动化、灰度发布流程和预览环境配置，设定整个团队将遵循的模式。
- 扩展托管数据服务：设计、运营并强化多租户 PostgreSQL 集群、Redis 缓存层和对象存储，重点在于数据隔离、性能和灾难恢复。
- 从第一天起推动可观测性：为每个 Volcano 服务添加有意义的 SLI；在服务上线前，使用 Datadog、Prometheus 和 Grafana 构建仪表盘、警报和操作手册，而不是在事件发生后。
- 领导跨职能的可靠性工作：与 OCTO 团队、产品工程和安全团队合作，将可靠性与合规性嵌入 Volcano 的架构中，而不是后期添加。
- 评估并采用新兴技术：鉴于 Volcano 是一个全新项目，评估并做出关于边缘运行时、无服务器计算、向量数据库和 AI 原生基础设施的架构决策。
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Are you ready to unlock intelligence?
If you don’t think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box - we’re looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others.
About The Role:
Kong is building Project Volcano, an internal developer platform purpose-built for Kong's engineering ecosystem. Volcano will provide teams with on-demand preview environments, edge deployments, managed PostgreSQL, auth, realtime, and storage APIs all deeply integrated with Kong products.
As the Senior SRE for Volcano, you will be the reliability voice for this platform. This role is a strategic initiative driven by the Office of the CTO (OCTO). You will partner directly with engineering leadership to define the platform's reliability posture. This is a high-visibility, high-impact role with direct influence on Kong's next generation developer platform.
What You'll Do:
- Own reliability for Volcano end-to-end: Define and drive SLOs, error budgets, and incident response practices for all Volcano services — edge deployments, managed Postgres, auth, realtime, storage, and the control plane.
- Contribute to the platform's infrastructure: Design and build the multi-region Kubernetes infrastructure, networking, and data plane that powers Volcano's edge deployment pipeline and backend-as-a-service capabilities.
- Build the GitOps and CI/CD backbone: Establish deployment automation, canary pipelines, and preview environment provisioning using ArgoCD, Helm, and Terraform/Terragrunt — setting patterns the broader team will follow.
- Scale managed data services: Design, operate, and harden multi-tenant PostgreSQL clusters, Redis caching layers, and object storage — with a focus on data isolation, performance, and disaster recovery.
- Drive observability from day one: Instrument every Volcano service with meaningful SLIs; build dashboards, alerts, and runbooks using Datadog, Prometheus, and Grafana before services go live, not after incidents.
- Lead cross-functional reliability work: Collaborate with the OCTO team, product engineering, and security to bake reliability and compliance into Volcano's architecture — not bolt it on later.
- Evaluate and adopt emerging technologies: Given Volcano's greenfield nature, evaluate and make architectural decisions on edge runtimes, serverless compute, vector databases, and AI-native infrastructure components.
What You'll Bring:
- BS in Computer Science or equivalent; substantial experience at Staff or Principal IC level in SRE/Platform Engineering.
- Proven track record building SRE or platform engineering practices for developer-facing platforms or PaaS/SaaS products — ideally at greenfield stage.
- Kubernetes expertise: multi-tenant cluster design, networking (CNI, service mesh, ingress), autoscaling, and security hardening.
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About Kong:
Kong Inc., the AI Connectivity Company, is building the connectivity layer of AI. Trusted by the Fortune 500® and AI-native startups alike, Kong’s unified API and AI platform enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI traffic — on any model, any cloud. For more information, visit www.konghq.com http://www.konghq.com.