高级工程经理 - 测试职能
Senior Engineering Manager - Test Function
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，但仍对这份工作感兴趣，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，并且在其他领域有相关兴趣和能力的候选人。
职位简介：
作为高级工程经理，你将作为Kong旗舰运行时平台（AI网关、API网关、事件网关和服务网格）质量工程的全球负责人。
这是一个高可见度、具有变革性的领导职位。除了管理我们分布式的全球SDET团队，你还将是Kong下一代AI驱动测试策略的主要架构师。你将推动质量工程职能从传统自动化向智能、代理式、自愈的测试基础架构转型，利用大语言模型（LLMs）和自动提示/代理循环来测试支撑人工智能时代的基础设施。
你将负责：
- 全球团队领导与运营：领导、指导并发展一个高性能的、分布在北美、欧洲和亚洲的软件开发工程师（SDET）团队。
- 构建AI测试策略：定义并执行将AI、大语言模型（LLMs）和自主测试代理直接整合到测试生命周期中的路线图。实现生成式AI功能，用于自动化测试用例生成、智能故障分类、自愈测试脚本和动态边缘情况合成。
- 负责运行时质量策略：为低延迟、高吞吐量的C/Lua/Rust数据平面建立测试策略。
- 现代化框架与CI/CD流水线：监督我们嵌入现代CI/CD流水线（GitHub Actions、Docker、K8s）中的端到端、性能、回归和混沌测试自动化工具链的架构演进。
- 向前推进质量与治理：推动质量责任向上游转移。与软件工程和产品管理紧密合作，将严格的可测试性标准嵌入初始架构设计中。
- 定义企业级指标：建立并监控清晰的质量工程健康指标（例如，CI信号可靠性、自动化覆盖率、缺陷密度、故障分类时间以及发布稳定性）
你将带来：
- 10年以上软件工程/SDET经验：有构建和扩展企业级软件测试自动化系统的成功记录。
- 4年以上工程管理经验：有直接领导分布式团队的经验。
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:
As the Senior Engineering Manager, you will serve as the global leader for Quality Engineering across Kong’s flagship runtime platforms (AI Gateway, API Gateway, Event Gateway and Mesh).
This is a high-visibility, transformative leadership role. Beyond overseeing our distributed global SDET organization, you will be the primary architect of Kong’s next-generation AI-driven testing strategy. You will spearhead the transformation of our quality engineering function from traditional automation to an intelligent, agentic, self-healing test substrate, using LLMs and automated prompt/agent loops to test the very infrastructure powering the AI era.
What You’ll Do:
- Global Team Leadership & Operations: Lead, mentor, and grow a high-performing, geographically distributed team of Software Development Engineers in Test (SDETs) across North America, Europe, and Asia.
- Architect the AI Testing Strategy: Define and execute the roadmap for integrating AI, LLMs, and autonomous test agents directly into our testing lifecycle. Implement generative AI capabilities for automated test case generation, smart failure triage, self-healing test scripts, and dynamic edge-case synthesis.
- Own Runtimes Quality Strategy: Establish testing strategies for low-latency, high-throughput C/Lua/Rust data planes.
- Modernize Frameworks & CI/CD Pipelines: Oversee the architectural evolution of our end-to-end, performance, regression, and chaos-testing automation harnesses embedded within modern CI/CD pipelines (GitHub Actions, Docker, K8s).
- Shift-Left Quality & Governance: Drive quality ownership upstream. Partner closely with Software Engineering and Product Management to embed rigorous testability standards into initial architectural designs.
- Define Enterprise-Grade Metrics: Establish and monitor clear QE health indicators (e.g., CI signal reliability, automation coverage, defect density, time-to-triage, and release stability).
What You’ll Bring:
- 10+ Years in Software Engineering / SDET: Proven track record building and scaling enterprise software test automation systems.
- 4+ Years in Engineering Management: Direct experience leading distributed or global software engineering/SDET teams.
- Hands-on AI Integration Vision: Proven experience applying LLMs, Generative AI, or autonomous agent frameworks (e.g., Model Context Protocol, agentic tool-calling, synthetic data generation) to software quality or developer workflows.
- Operational Excellence: Demonstrated ability to manage follow-the-sun operational cadence, vendor partnerships, and cross-timezone execution seamlessly.
Bonus Points:
- Direct experience testing high-performance networking data planes, proxies, or API Gateways (e.g., Kong, NGINX, Envoy).
- Background in performance, chaos engineering (e.g., Gremlin, Litmus), and load testing high-availability SaaS platforms.
- Active involvement or contributions to open-source quality frameworks or AI development tooling.
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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.