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站点可靠性工程师 2

雇主

Kong Inc.

地点

远程 · Remote · 美国

待遇

$USD 123,000 - USD 150,000 / yearly

工作模式

远程

截止日期

1月4日

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岗位摘要

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…

岗位职责

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.
#LI-KC1
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.

申请条件

- 具备站点可靠性工程(SRE)相关经验,负责构建、运营和扩展多区域SaaS平台
- 有设计、自动化和运行生产系统的经验,服务数千客户,跨AWS、GCP和Azure
- 熟悉多区域Kubernetes集群、服务网格和网关架构
- 能够确保SaaS产品的可靠性、可扩展性和安全性
- 有实际操作经验,擅长运行大规模生产SaaS系统、自动化运维和持续改进性能、韧性及部署管道
- 熟悉Kubernetes基础设施和部署工作流,使用Terraform/Terragrunt、Helm和ArgoCD
- 有设计、维护和优化多区域数据和缓存层经验,包括PostgreSQL、Redis、ClickHouse和Druid,确保高可用性和低延迟
- 有运营和改进Kong Gateway和Kong Mesh环境的经验,支持混合和分布式架构
- 能够开发和维护CI/CD管道和GitOps工作流,自动化服务交付并确保基础设施变更一致性
- 在少数领域特别强势,并对其他领域有兴趣和能力(根据描述推断)

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