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Kong

Senior Software Engineer, AI Gateway

Location
Milano, IT
Arrangement
On-site
Employment type
Full-time
Level
Senior
Posted
26 October 2026 (20 days ago)

Checked 13 days agoApplications go to the employer, never to RoleSprint

About this role

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.

THE MISSION:

The AI Gateway team is at the forefront of Kong's evolution into the Agentic Era, building the critical infrastructure that connects enterprises to the world of generative AI. We are architecting a highly performant, secure, and observable gateway that provides developers with an unparalleled 'Developer Delight' experience for AI workloads. Your work will directly empower our customers to innovate faster by securely integrating LLMs and AI services into their applications at massive scale.

WHAT YOU’LL DO:

- Design and own core components of our AI Gateway, ensuring 99.99% uptime and low-latency performance for critical AI traffic.

- Lead the implementation of features like prompt engineering, caching, and observability for AI services, writing clean, maintainable Golang and/or Python code.

- Influence the technical roadmap and architecture, proactively identifying and mitigating technical debt to ensure long-term scalability.

- Architect robust solutions for integrating with various Large Language Models (LLMs) and AI platforms, shaping the future of API management for AI.

- Mentor junior engineers, fostering a culture of technical excellence, high-ownership, and rapid iteration through code reviews and design discussions.

- Drive the full development lifecycle, from ideation and design to deployment and operation within a modern Kubernetes environment.

- Collaborate with product managers and cross-functional teams to translate complex customer requirements into elegant and powerful technical solutions.

WHAT YOU’LL BRING:

THE TOOLKIT

- 5+ years of experience in backend development, preferably with Golang and/or Python.

- Experience with AI/ML infrastructure, LLMs, or frameworks like LangChain or LlamaIndex.

- Deep understanding of distributed systems, microservices architecture, and API design principles.

- Proven experience designing and operating services in a cloud-native environment (Kubernetes, Docker, AWS/GCP/Azure).

- Familiarity with API gateways, service mesh, or related infrastructure technologies.

- Strong computer science fundamentals (data structures, algorithms, concurrency).

THE KONG DNA

- Ownership: You are a self-starter who takes initiative and sees features through from conception to production.

- Urgency: You thrive in a fast-paced environment, balancing quality with the need to deliver value to customers quickly.

- Collaboration: You excel at working with a globally distributed team, communicating clearly and effectively to achieve shared goals.

BONUS POINTS:

- Contributions to open-source projects.

- Experience with performance tuning and optimization of high-throughput systems.

- Knowledge of Lua/OpenResty.

#LI-EA1

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.

Work location

  • Milano, IT

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About this listing

Advertised by Kong and published on Ashby, the applicant tracking system they use.

RoleSprint is not the employer and not a recruiter. Applications are made on the employer’s own site and never reach us; what RoleSprint does is help you decide whether a role is worth your time and prepare for it if it is.

Published 26 October 2026, last checked 13 days ago. A posting stops being advertised here 90 days after the employer published it, and one the employer takes down is marked closed rather than quietly removed.

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