Kong AI Gateway Engineer

Job Overview As a Senior Engineer on the Middleware team, you will play a key role in evolving our Kong AI Gateway platform, supporting enterprise adoption of AI capabilities, and enabling development teams through well‑designed patterns, tooling, and documentation. You will collaborate closely with Product and Technology partners, contribute hands‑on engineering work, and help define reusable solutions that make AI integrations easier, safer, and more scalable for internal teams. Responsibilities Collaborate with Product and Technology teams to maximize the value delivered by the Kong AI Gateway platform Build, enhance, and maintain Kong gateway capabilities supporting MCP and LLM traffic Design and develop Kong plugins for authentication, rate limiting (including token‑based throttling), logging, and request/response transformation Develop internal tools and solutions that improve how teams integrate AI capabilities across the organization Maintain platform health through upgrades, configuration management, and operational best practices Write and maintain technical documentation and knowledge‑base articles to support platform adoption and usage Contribute to reusable patterns and reference implementations that enable consistent onboarding across teams Required Qualifications 6+ years of relevant software development experience 2+ years of experience implementing Kong API Gateway and/or AI Gateway solutions in enterprise environments 6+ years of experience with APIs, containers, and micro‑services architectures 6+ years of experience with application development using multiple programming languages Bachelor’s degree in Computer Science, a related field, or equivalent practical experience Preferred Qualifications Experience with Google Apigee, IBM API Connect, or IBM DataPower Experience supporting shared platforms used by multiple development teams Familiarity with enterprise security, governance, and compliance considerations for API platforms Core Competencies Systems thinking and platform‑oriented design Clear technical communication across engineering and non‑engineering audiences Problem‑solving mindset with a focus on scalable solutions Continuous learning and adaptability in evolving AI and platform ecosystems Pay Range $101,970.00 - $169,950.00 EEO Statement Equal opportunity employer. EEO Eligibility Principals only. #J-18808-Ljbffr LPL Financial