Kong

Senior Software Engineer - Golang

Kong United States · CA$145–CA$202/yr

Software Development · 1,001-5,000 employees

19 h ago
Remote golang Senior (5-10 yrs) Full-time United States
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About the role

Design and build highly scalable distributed backend systems while developing core services in Golang. Collaborate with the CTO and senior engineers to prototype and productionize new platform capabilities and internal tooling.

What they look for

Golang PostgreSQL Redis Distributed systems Backend development Scalability Reliability Microservices Networking Cloud platforms API infrastructure Systems architecture Performance optimization Debugging Kubernetes LLM

Requirements

Requires strong production experience with Golang and solid experience designing distributed systems at scale. Candidates should have proficiency with PostgreSQL, Redis, and building high-availability backend systems.

Benefits

Healthcare benefits 401(k) plan Short term disability benefits Long term disability benefits Basic life insurance AD&D insurance

Full description

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.

Kong is building the future of API and AI infrastructure. Our platform powers connectivity for thousands of organizations globally across APIs, microservices, Kubernetes and now AI agents and LLM-driven applications.

The Role

We’re looking for a Senior Software Engineer to join Kong’s Office of the CTO team and work on special, high-impact projects that influence the direction of our platform and engineering strategy. The Office of the CTO (OCTO) is where Kong’s most ambitious and exploratory engineering work happens, new platforms, foundational systems and high-impact technical bets that shape the company’s future.

You’ll work on everything from distributed database provisioning and durable workflow orchestration to LLM fine-tuning and infrastructure for our AI Builder capabilities, helping define a new foundation for how developers build and run AI-driven systems at scale.

This is a rare opportunity to shape a greenfield AI platform from the ground up, with direct input into architecture, tooling, and developer experience.

This is a role for engineers who enjoy deep technical challenges, ambiguity, and building systems that matter.

What You’ll Do:

  • Design and build highly scalable distributed backend systems
  • Develop core services in Golang, with a focus on performance and reliability
  • Work with PostgreSQL and Redis to build robust, data-intensive systems
  • Architect systems that operate across microservices, networking layers, and cloud platforms
  • Collaborate closely with the CTO and senior engineers on strategic technical initiatives
  • Prototype and productionize new platform capabilities and internal tooling
  • Influence engineering direction and technical standards across Kong

What you'll bring:

  • Strong production experience with Golang
  • Experience designing and operating distributed systems at scale
  • Solid experience with PostgreSQL and Redis in production environments
  • Experience building backend systems with high availability, scalability, and reliability
  • Strong systems thinking, debugging, and performance optimization skills

Bonus points:

  • Experience with Kubernetes, networking, or API gateways
  • Experience with cloud platforms (AWS, GCP, Azure)
  • Contributions to open source or internal platform tooling
  • Experience working on platform, infra, or developer tooling products

About Kong:

Kong Inc., a leading developer of API and AI connectivity technologies, is building the infrastructure that powers the agentic era. Trusted by the Fortune 500 and startups alike, Kong's unified API and AI platform, Kong Konnect, enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI models. For more information, visit www.konghq.com.

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