Senior Software Engineer, AI Gateway - Shanghai

Posted 9 Hours Ago
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Shanghai, Shanghai Municipality, Shanghai, CHN
In-Office
Senior level
Artificial Intelligence • Cloud • Information Technology • Software • Big Data Analytics
The AI Connectivity Company
The Role
Design, build, and maintain Kong API management software and its underlying systems. Develop proxying, load balancing, database, and deployment-platform integrations; troubleshoot bugs, tune performance, and implement low-level optimizations. Work with distributed systems, Linux networking, L4/L7 protocols, and open-source communities while collaborating remotely and documenting products. Familiarity with AI/LLM concepts is expected.
Summary Generated by Built In

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:

Kong is an open-source project with a global adoption around the world. Developers and architects are adopting Kong in production among a large variety of use-cases, and actively help make Kong a better product with their feedback and contributions.

 

As a Systems Engineer in the Core Team, you will be working on core features such as proxying capabilities, load balancing, and database support with forward-thinking. You will be responsible for building foundations for other teams and customers, discovering and producing cutting edge industry trends and use-cases.

 

What You'll Do:

  • Responsible for designing, building and maintaining API management software and its underlying stack.

  • Architecture, design, and implement new innovative features including proxying capabilities, load balancing, databases support that extend Kong’s offering.

  • Bugs troubleshooting, performance tuning and low-level optimizations. Engage with open source community and extend Kong core to support the latest industry trends.

  • Fill the gaps between Kong and third-party deployment platforms and tooling.

  • And any additional tasks required by manager.

 

What You'll Bring:

  • 8+ years of programming in server-side applications and components.

  • Experience designing, prototyping, building and debugging applications that are highly scalable, distributed, reliable and resilient.

  • Solid hands-on low-level technical expertise in Linux systems troubleshooting, and profiling.

  • Experience in distributed systems, Linux networking stack and computer systems programming, Kong works with APIs on both L7 and L4 transports and protocols, so this expertise and knowledge are required.

  • Comfortable working with a remotely distributed team.

  • Strong sense of ownership and excellent verbal and written communication skills -- engineers at Kong write the documentation for their products

  • Familiarity with AI LLM concepts and applications development

 

Bonus Points:

  • Hands on experience with NGINX/OpenResty/Kong/LuaJIT.

  • Hands on experience with Envoy or Istio.

  • Hands on experience with Rust

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.

Skills Required

  • 8+ years of programming experience in server-side applications and components
  • Experience designing, prototyping, building, and debugging highly scalable, distributed, reliable, and resilient applications
  • Hands-on low-level technical expertise in Linux systems troubleshooting and profiling
  • Experience with distributed systems, the Linux networking stack, and computer systems programming
  • Knowledge of APIs and L4/L7 transports and protocols
  • Ability to work comfortably with a remotely distributed team
  • Strong ownership and excellent verbal and written communication skills
  • Familiarity with AI LLM concepts and application development
  • Hands-on experience with NGINX, OpenResty, Kong, or LuaJIT
  • Hands-on experience with Envoy or Istio
  • Hands-on experience with Rust

Kong Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Kong and has not been reviewed or approved by Kong.

  • Leave & Time Off Breadth — Flexible PTO, company-wide Unplug Days, and a four‑week paid sabbatical after five years are prominently offered to support rest and work–life balance. These programs are presented as meaningful perks beyond base pay and are highlighted across official materials and third‑party summaries.
  • Healthcare Strength — U.S. medical, dental, and vision coverage is described as strong, with plan quality drawing positive sentiment. Solid healthcare appears to contribute meaningfully to overall satisfaction with the total package.
  • Equity Value & Accessibility — Stock options are offered to most employees, creating ownership upside alongside cash compensation. Equity is positioned as a visible component that helps keep offers competitive for certain technical and go‑to‑market roles.

Kong Insights

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The Company
HQ: San Francisco, California
1,000 Employees
Year Founded: 2017

What We Do

Kong Inc., a leading developer of API and AI connectivity technologies, is building the connectivity layer for 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. No AI without APIs.

Why Work With Us

It starts with how we show up for each other. We’ve created a workplace that’s intentionally flexible, deeply inclusive, and built for meaningful collaboration — whether virtual or in person. We trust our teams to own their work, and we give them the support, tools, and freedom to grow.

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