Full Job Description
Join us in building the AI integration foundation for the enterprise. This role offers the opportunity to work at the intersection of software engineering, API gateways, and AI/LLM enablement-helping teams across the organization securely and reliably route AI and MCP traffic at scale.
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.
Job Overview
The Middleware team is responsible for the operational reliability, extensibility, and evolution of the Kong AI Gateway platform. This Senior Engineer role is an individual contributor position focused on designing, building, and maintaining gateway capabilities that support AI/LLM integrations across the enterprise.
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
3 Collaborate with Product and Technology teams to maximize the value delivered by the Kong AI Gateway platform3 Build, enhance, and maintain Kong gateway capabilities supporting MCP and LLM traffic3 Design and develop Kong plugins for authentication, rate limiting (including token-based throttling), logging, and request/response transformation3 Develop internal tools and solutions that improve how teams integrate AI capabilities across the organization3 Maintain platform health through upgrades, configuration management, and operational best practices3 Write and maintain technical documentation and knowledge base articles to support platform adoption and usage3 Contribute to reusable patterns and reference implementations that enable consistent onboarding across teams
What Are We Looking For?
Were looking for a curious, detail-oriented technologist who enjoys learning how complex systems work and collaborating across teams. You bring a strong analytical mindset, solid technical fundamentals, and a desire to grow your impact in platform and architecture-focused work
Required Qualifications
3 6+ years of relevant software development experience3 2+ years experience implementing Kong API Gateway and/or AI Gateway solutions in enterprise environments3 6+ years experience with APIs, containers, and microservices architectures3 6+ years experience with application development using multiple programming languages3 Bachelors degree in Computer Science, a related field, or equivalent practical experience
Preferred Qualifications
3 Experience with Google Apigee, IBM API Connect, or IBM DataPower3 Experience supporting shared platforms used by multiple development teams3 Familiarity with enterprise security, governance, and compliance considerations for API platforms
Core Competencies
3 Systems thinking and platform-oriented design3 Clear technical communication across engineering and non-engineering audiences3 Problem-solving mindset with a focus on scalable solutions3 Continuous learning and adaptability in evolving AI and platform ecosystems
Pay Range:
$101,970.00 - $169,950.00
Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play - such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!
