Site Reliability Engineer 2
你准备好解锁智能了吗？
如果你认为自己不完全符合以下所有要求，但仍对这份工作感兴趣，请申请。没有人能完全满足所有条件——我们寻找在某些领域特别强的候选人，并且在其他领域有相关兴趣和能力。
你准备好解锁智能了吗？
如果你认为自己不完全符合以下所有要求，但仍对这份工作感兴趣，请申请。没有人能完全满足所有条件——我们寻找在某些领域特别强的候选人，并且在其他领域有相关兴趣和能力。
关于职位：
作为站点可靠性工程师，你将加入全球平台SRE团队，负责构建、运营和扩展Kong的多区域SaaS平台，该平台为全球的API连接提供支持。
你将设计、自动化并运行服务于AWS、GCP和Azure上数千客户的生产系统。你将涉及从多区域Kubernetes集群到服务网格和网关架构的各个方面，确保Kong SaaS产品的可靠性、可扩展性和安全性。
这是一个注重实践的职位，适合那些在大规模运行生产SaaS系统、自动化运维以及持续提升性能、弹性和部署流程方面表现出色的工程师。
你将负责：
- 运营和扩展Kong的全球SaaS平台（Konnect），确保跨区域和云环境的可靠性、可用性和性能。
- 使用Terraform/Terragrunt、Helm和ArgoCD构建、自动化并维护基于Kubernetes的基础设施和部署流程。
- 设计、维护和优化多区域数据和缓存层——包括PostgreSQL、Redis、ClickHouse和Druid——以实现高可用性和低延迟。
- 运营和改进支持混合和分布式架构的Kong Gateway和Kong Mesh环境。
- 开发和维护CI/CD流水线和GitOps工作流，以自动化服务交付并确保基础设施变更的一致性。
- 通过Datadog、Prometheus、Grafana和Thanos等系统增强可观测性和事件响应准备，定义并跟踪SLO。
- 与开发和安全团队紧密合作，确保SaaS服务在符合可靠性、安全性和监管标准的前提下顺利运行。
- 参与全球24/7的值班轮班，并推动操作手册和事后分析实践的持续改进。
- 领导和贡献于关键项目的实施与优化。
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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.
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:
As a Site Reliability Engineer, you’ll join the global Platform SRE team responsible for building, operating, and scaling Kong’s multi-region SaaS platform that powers the world’s API connectivity.
You’ll design, automate, and run production systems serving thousands of customers across AWS, GCP, and Azure. You’ll work on everything from multi-region Kubernetes clusters to service mesh and gateway architectures, ensuring the reliability, scalability, and security of Kong’s SaaS offerings.
This is a hands-on role ideal for engineers who thrive on running production SaaS systems at scale, automating operations, and continuously improving performance, resilience, and deployment pipelines.
What You’ll Do:
- Operate and scale Kong’s global SaaS platform (Konnect), ensuring reliability, availability, and performance across regions and clouds.
- Build, automate, and maintain Kubernetes-based infrastructure and deployment workflows using Terraform/Terragrunt, Helm, and ArgoCD.
- Design, maintain, and optimize multi-region data and caching layers — including PostgreSQL, Redis, ClickHouse, and Druid — for high availability and low latency.
- Operate and improve Kong Gateway and Kong Mesh environments supporting hybrid and distributed architectures.
- Develop and maintain CI/CD pipelines and GitOps workflows to automate service delivery and ensure consistent infrastructure changes.
- Enhance observability and incident response readiness through systems like Datadog, Prometheus, Grafana, and Thanos, defining and tracking SLOs.
- Collaborate closely with development and security teams to ensure smooth operation of SaaS services in compliance with reliability, security, and regulatory standards.
- Participate in a global 24/7 on-call rotation and drive continuous improvement of operational playbooks and postmortem practices.
- Lead and contribute to scaling initiatives that improve elasticity, reliability, and cost-efficiency across the SaaS platform.
What You’ll Bring:
- BS in Computer Science or equivalent practical experience.
- Proven experience managing SaaS or PaaS systems at enterprise scale (multi-region, multi-tenant, secure environments).
- Deep expertise in Kubernetes, including debugging cluster/networking issues and designing for fault tolerance and scalability.
- Strong proficiency with Infrastructure as Code tools like Terraform or Terragrunt.
- Experience with CI/CD pipelines and GitOps workflows (ArgoCD, Atlantis, Helm).
- Proficiency in one or more programming languages (Go, Python, Bash) for automation and tooling.
- Solid understanding of Linux/Unix systems, networking (DNS, TLS/SSL, HTTP), load balancers and distributed systems.
- Experiencing working with API gateway and service mesh technologies
- Familiarity with streaming systems like Kafka and observability platforms (Datadog, Prometheus, Grafana).
- Experience working in a 24/7/365 production support environment.
Bonus Points:
- Hands-on experience with Kong Gateway, Kong Mesh, or similar service connectivity technologies.
- Experience operating ClickHouse, Druid, or other time-series and analytics databases.
- Experience managing PostgreSQL and Redis in multi-region configurations.
- Working knowledge of AWS networking (PrivateLink, Transit Gateway, VPC Peering, Firewalls), Azure VNet, or GCP NCC.
- Strong understanding of disaster recovery, resiliency testing, and compliance-driven reliability practices.
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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.