# Senior Software Engineer, Metering & Billing at Kong

Senior Software Engineer, Metering & Billing at Kong in Hungary. Hybrid, full-time. Posted October 26, 2026.

- Company: Kong
- Location: Hungary
- Workplace: Hybrid
- Job type: Full-time
- Experience: 5+ years
- Posted: 2026-10-26
- Apply: https://jobs.ashbyhq.com/kong/15112014-f3c5-4f1d-bc3d-8a20e6f8a80d/application
- Source: https://jobmagic.ai/jobs/senior-software-engineer-metering-billing-kong-e7k3bq

## Requirements

- Experience with Go, Node.js.
- Contributions to open source projects.
- Familiarity with cloud-native technologies (e.g., Kubernetes, Docker).
- Exposure to big data systems (e.g., ClickHouse), streaming platforms (e.g., Kafka), and event-driven architectures.
- 5+ years of professional software development experience.
- Proven experience building scalable backend services.
- Demonstrated ability to deliver and maintain production systems at scale.
- Solid understanding of distributed systems, APIs, and database optimization.
- Excellent verbal and written communication skills.

## 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.

**About the role:**
On the Konnect Metering & Billing team at Kong, you’ll design, build, and maintain the backend services behind two products: usage metering and billing, and AI Cost Management (Tokenomics), which gives customers visibility and control over what their AI usage costs. As a Backend Engineer, you’ll work closely with Engineering and Product to build scalable services and APIs that process millions of events per second and have a direct, measurable impact on our customers.
**What you’ll do:**

- Design, implement, and maintain microservices and APIs for usage metering, billing, invoicing, and analytics at scale.

- Build AI Cost Management capabilities that help customers track, attribute, and control LLM token usage and spend, including cost attribution, budgets, and usage limits.

- Architect backend systems that process millions of events per second in real time.

- Work with Product and Engineering to define system requirements and ship high-quality, customer-focused solutions.

- Optimize database performance and ensure data integrity, reliability, and security across distributed systems.

- Integrate with third-party services (e.g., Stripe, CRMs) to support billing and reporting needs.

- Support production services through monitoring, troubleshooting, and on-call rotation to keep them highly available.

- Apply best practices for DevOps, CI/CD, and cloud-native development.

- Write automated tests to validate system behavior and prevent regressions.

- And any additional tasks required by your manager.

**What you’ll bring:**

- Experience with Go, Node.js.

- Contributions to open source projects.

- Familiarity with cloud-native technologies (e.g., Kubernetes, Docker).

- Exposure to big data systems (e.g., ClickHouse), streaming platforms (e.g., Kafka), and event-driven architectures.

- 5+ years of professional software development experience.

- Proven experience building scalable backend services.

- Demonstrated ability to deliver and maintain production systems at scale.

- Solid understanding of distributed systems, APIs, and database optimization.

- Excellent verbal and written communication skills.

**Bonus points:**

- Familiarity with LLM APIs, token-based pricing, or AI gateway and observability tooling.

- Experience working on developer-focused products.

- Experience working on developer-focused products.

#LI-BR2

**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.