高级资深软件工程师 - 代理市场
Senior Staff Software Engineer - Agent Marketplace
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出色，并且在其他领域有兴趣和能力的候选人。
职位简介：
作为零到一工程团队的创始成员，构建机器对机器商务的未来。你将设计、构建并扩展代理到API和代理到代理交易的协调架构，涵盖发现、身份验证、计费和结算，直接建立在Kong世界级的运行时堆栈之上。作为Kong内部的一个自主创业单元，该团队负责降低组织阻力，提升工程速度，并确立Kong在智能时代中的绝对领导地位。
你将负责：
- 设计并负责市场循环的端到端全栈功能，交付高性能工具、底层REST API基础架构以及面向开发者的上手系统。
- 设计基础的代理原生用户体验，创建强大的模型上下文协议（MCP）服务器功能、沙盒测试环境以及优雅的CLI/SDK生成流程。
- 通过构建高可靠性的程序化身份验证管道、使用归属追踪、细粒度计量和复杂多方结算来扩展并保护交易基础设施。
- 推动Kong工程生态系统的跨职能执行，与网关运行时、安全插件和全球核心团队合作，顺利集成市场功能。
- 主导架构设计评审，倡导无技术债务的文化，同时主动防止分布式后端组件中的扩展瓶颈。
- 指导组织内的工程师，通过将模糊的产品决策转化为高度定义、模块化且可发布的技术里程碑，提升团队的整体产出。
- 完全掌控技术生命周期，为每个你设计的系统编写清晰明确的工程文档和产品规范。
你将带来：
- 7年以上工程经验，具备设计、构建和维护复杂分布式系统的实际能力，能够从零开始打造企业级生产软件。
- 对现代后端堆栈（如Golang或其他系统语言）有精通级别的专业知识，同时具备深厚的架构设计能力
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.
About the Role:
Architect the future of machine-to-machine commerce as a founding member of a zero-to-one engineering squad. You will design, build, and scale the coordination fabric for agent-to-API and agent-to-agent transactions—spanning discovery, identity, billing, and settlement—built directly on top of Kong’s world-class runtime stack. Operating as an autonomous startup unit inside Kong, this team is responsible for lowering organizational drag, unlocking engineering velocity, and establishing Kong’s absolute leadership in the Agentic Era.
What You’ll Do:
- Architect and own the end-to-end full-stack surfaces of the marketplace loop, delivering high-performance tools, the underlying REST API substrate, and developer-facing onboarding systems.
- Design the foundational agent-native user experience, creating robust Model Context Protocol (MCP) server capabilities, sandboxed test environments, and elegant CLI/SDK generation workflows.
- Scale and protect the transaction infrastructure by building high-reliability pipelines for programmatic identity verification, usage attribution, granular metering, and complex multi-party settlement.
- Drive cross-functional execution across Kong's engineering ecosystem, partnering with gateway runtime, security plugins, and global core teams to smoothly integrate marketplace features.
- Lead architectural design reviews and champion a zero-technical-debt culture while proactively preventing scaling bottlenecks across distributed backend components.
- Mentor engineers across the organization, multiplying the team's output by translating ambiguous product bets into highly defined, modular, and shippable technical milestones.
- Own the technical lifecycle completely by writing crystal-clear engineering documentation and product specifications for every system you architect.
What You’ll Bring:
- 7+ years of experience engineering enterprise-grade production software with a proven capability to design, build, and support complex distributed systems from scratch.
- Master-level expertise with a modern backend stack (such as Golang or similar systems languages) alongside deep architectural command of API infrastructure, Kubernetes, and cloud-native patterns.
- Extensive hands-on experience developing autonomous agent applications, tool-calling systems, prompt loops, or systems designed explicitly for machine consumption.
- Deep operational familiarity with multi-tenant architectures, usage-based metering pipelines, billing integration patterns, or secure data exchange layers.
- Strong written communication and technical articulation skills, with an unwavering comfort operating within remote, globally distributed engineering environments (West Coast/Bay Area alignment preferred).
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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.