远程工作雷达

高级SRE,托管网关

Senior SRE, Managed Gateways

开发工程未标注地域
公司kong
薪资$113,000 - $162,000
工作地点Washington, United States
地域资格未标注地域
时区要求无特别要求
用工类型FullTime
发布时间2026-07-23
数据来源Ashby
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你准备好解锁智能了吗?

如果你不认为自己符合以下所有条件,但仍对该职位感兴趣,请申请。没有人能完全满足所有要求——我们寻找的是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。

高级SRE,托管网关

关于该职位:

Kong的托管网关是Kong产品组合中增长最快的,是一个ARR呈数倍增长的SaaS产品。作为专注于托管网关的高级站点可靠性工程师,你将负责设计和维护支撑Kong关键托管服务的弹性、可扩展基础设施——你将是该产品的技术代表,直接确保企业客户依赖的可靠性和性能,让他们能够在全球规模上构建下一代连接应用。

你将负责的工作:

云网关是一个复杂的多云问题——支持AWS、GCP和Azure——我们的企业客户运行大型且常常独特的拓扑结构。该职位有两个同样深入的工程职责:负责平台的生产可靠性,以及作为高级技术负责人,从启动到成功上线实施的整个过程。

平台与可靠性工程

- 领导、指导并激励一支高绩效的站点可靠性工程师团队,专注于Kong的托管网关产品。

- 使用Kubernetes、Golang和主要云服务商等技术,设计和实现稳健、可扩展且容错的云原生系统。

- 负责端到端的运维生命周期,从主动监控和告警到事件响应和无责复盘,确保持续的服务改进。

- 通过自动化、自助工具和简化的工作流程,推动开发者愉悦感,实现API网关的部署和管理。

- 定义、跟踪并报告关键的SLO和SLI,确保托管网关的最佳性能和可靠性。

- 倡导防止技术债务,并推动增强系统弹性和减少运维负担的最佳架构实践。

- 与产品、工程和客户成功团队跨职能协作,影响路线图决策,并确保新功能的运营就绪。

企业实施工程

- 直接与企业客户合作,提供技术支持和解决方案,确保项目顺利上线和成功实施。

查看英文原文

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.

SENIOR SRE, MANAGED GATEWAYS

ABOUT THE ROLE:

Kong's Managed Gateways is the fastest-growing product in the Kong portfolio, a SaaS offering with ARR growing multifold. As a Senior Site Reliability Engineer focused on Managed Gateways, you'll be instrumental in architecting and maintaining the resilient, scalable infrastructure that powers Kong's mission-critical managed services — and you'll be the technical face of that product for the enterprise customers who depend on it, directly ensuring the reliability and performance that lets them build the next generation of connected applications at global scale.

WHAT YOU’LL DO:

Cloud Gateways is a complex, multi-cloud problem — supported across AWS, GCP, and Azure — and our enterprise customers run large, often unique topologies. This role carries two equally deep engineering mandates: owning production reliability for the platform, and acting as the senior technical authority who takes an enterprise customer from kickoff to a fully successful, live implementation.

Platform & Reliability Engineering

- Lead, mentor, and inspire a high-performing team of Site Reliability Engineers dedicated to Kong's Managed Gateway offerings.

- Architect and implement robust, scalable, and fault-tolerant cloud-native systems using technologies like Kubernetes, Golang, and major cloud providers.

- Own the end-to-end operational lifecycle, from proactive monitoring and alerting to incident response and blameless post-mortems, ensuring continuous service improvement.

- Drive a culture of developer delight by implementing automation, self-service tooling, and streamlined workflows for deploying and managing API gateways.

- Define, track, and report on key SLOs and SLIs to ensure optimal performance and reliability of Managed Gateways.

- Champion technical debt prevention and advocate for architectural best practices that enhance system resilience and reduce operational toil.

- Collaborate cross-functionally with Product, engineering, and Customer Success to influence roadmap decisions and ensure operational readiness for new features.

Enterprise Implementation Engineering

- Partner directly with enterprise customers — working alongside Product leadership, Professional Services, and Customer Success — to drive end-to-end onboarding and implementation of Cloud Gateways, and productize recurring implementation patterns into repeatable playbooks and platform capabilities.

- Bring deep, cross-cloud breadth (AWS, GCP, Azure) to handle unique customer topologies and turn complex setups into successful, production-ready deployments.

- Serve as the technical owner of the customer relationship through implementation, primarily supporting our North America customer base, and be the escalation point Customer Success leans on for technically complex accounts.

- Feed real-world implementation patterns and customer constraints back to Product to further contribute the roadmap.

WHAT YOU’LL BRING:

THE TOOLKIT

- Extensive experience as a Site Reliability Engineer, focusing on highly available and distributed systems.

- Deep expertise with Kubernetes and cloud-native architectures, preferably across multiple public cloud providers (AWS, GCP, Azure).

- Strong proficiency in Golang or similar modern programming languages for automation and tool development.

- Proven track record in building and maintaining CI/CD pipelines and infrastructure as code (Terraform, Ansible).

- In-depth knowledge of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, ELK stack, Datadog).

- Experience with managed services, API gateways, or similar network infrastructure is highly desirable.

THE KONG DNA

- You take immense ownership of your systems, treating reliability as a first-class feature.

- You operate with a sense of urgency, especially in critical situations, and drive quick, effective resolutions.

- You thrive in a collaborative environment, actively sharing knowledge and elevating the entire team.

- Kong moves fast, and our team's spread across continents and time zones — plans shift mid-flight, and things don't always line up neatly. You don't need everything settled to do good work. You bring your own calm to the noise, figure things out as you go, and help the people around you do the same.

BONUS POINTS:

- Experience with Service Mesh technologies (e.g., Istio, Linkerd).

- Familiarity with database administration for high-throughput systems (PostgreSQL, Cassandra).

- Contributions to open-source SRE tools or projects.

- Relevant cloud certifications (e.g., AWS Certified DevOps Engineer, CKA).

#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 http://www.konghq.com.

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软件工程师

kongToronto, Canada118,000 - 140,000 CADFullTime2026-01-22
开发工程全球可投(据职位描述推断)

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