高级软件工程师，Konnect 管理/计费
Senior Software Engineer, Konnect Admin/Billing
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如果你认为自己不符合以下所有条件，但仍对该职位感兴趣，请申请。没有人能完全满足所有要求——我们寻找在某些领域特别突出的候选人，并在其他领域有相关兴趣和能力。
关于该职位：
高级软件工程师将是计费平台团队的核心成员，负责设计和实现推动Kong商业基础设施的微服务和集成。你将构建可扩展、可靠的TypeScript服务，处理从试用注册到企业订阅配置和使用计量的完整客户计费生命周期。该职位需要在分布式系统、事件驱动架构和第三方财务平台集成方面有深入经验，同时具备强烈的主人翁意识，并能在正确性不可选的领域中运作。
你将负责：
- 设计、开发和维护TypeScript微服务，支持自助和企业计划模型中的计费生命周期管理。
- 构建和优化与支付处理、使用计量和CRM平台的集成，以支持合同和授权同步。
- 使用Kafka或其他类似平台实现可靠的事件驱动工作流，处理合同事件、配置授权并触发计费状态转换。
- 设计和维护授权执行层，根据计划类型和合同状态在Kong多租户平台上控制产品访问。
- 负责配置管道，将已成交的销售机会映射到实时组织配置，减少人工干预和人为错误。
- 与产品经理、营收运营和财务利益相关者合作，将计费需求转化为可靠、可审计的系统行为。
- 构建和改进计费运营的内部工具，包括客户支持和财务团队使用的管理界面。
- 编写干净、可维护、经过充分测试的代码，在高风险的金融领域编写全面的单元测试、集成测试和端到端测试。
- 参与代码审查、设计讨论和架构规划，重点关注正确性、幂等性和操作弹性。
- 参与值班轮班，并负责计费平台服务的事故响应。
- 指导初级工程师，为工程严谨性和操作责任文化做出贡献
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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:
The Senior Software Engineer will be a core member of the Billing Platform Team, designing and implementing the microservices and integrations that power Kong's commercial infrastructure. You'll build scalable, reliable TypeScript services that handle the full customer billing lifecycle, from trial signup through enterprise subscription provisioning and consumption metering. This role requires deep experience with distributed systems, event-driven architectures, and third-party financial platform integrations, combined with strong ownership instincts and the ability to operate in a domain where correctness is not optional.
What You'll Do:
- Design, develop, and maintain TypeScript microservices that power billing lifecycle management across self-serve and enterprise plan models.
- Build and evolve integrations with payment processing, usage metering, and CRM platforms to support contract and entitlement synchronization.
- Implement reliable event-driven workflows using Kafka or similar platforms to process contract events, provision entitlements, and trigger billing state transitions.
- Design and maintain the entitlement enforcement layer that gates product access based on plan type and contract state across Kong's multi-tenant platform.
- Own the provisioning pipeline that maps closed sales opportunities to live org configurations, reducing manual intervention and human error.
- Collaborate with product managers, RevOps, and finance stakeholders to translate billing requirements into reliable, auditable system behavior.
- Build and improve internal tooling for billing operations, including admin interfaces used by customer support and finance teams.
- Write clean, maintainable, well-tested code with comprehensive unit, integration, and end-to-end tests across a high-stakes financial domain.
- Participate in code reviews, design discussions, and architecture planning with a focus on correctness, idempotency, and operational resilience.
- Participate in on-call rotation and own incident response for billing platform services.
- Mentor junior engineers and contribute to a culture of engineering rigor and operational accountability.
What You'll Bring:
- 5+ years of professional software engineering experience building backend services and distributed systems.
- Strong proficiency in TypeScript and Node.js with experience building production microservices using frameworks such as NestJS.
- Deep experience with relational databases (PostgreSQL or similar) including schema design, query optimization, and data modeling for financial or transactional domains.
- Experience designing and building event-driven architectures using Kafka, SQS, or similar messaging platforms.
- Proven experience integrating with third-party financial or billing platforms such as Stripe, Zuora, Chargebee, or usage metering systems.
- Strong understanding of distributed systems concepts including consistency, idempotency, eventual consistency, and failure recovery in financial workflows.
- Experience building microservices that consume and produce CRM events as part of automated provisioning or fulfillment workflows.
- Solid understanding of multi-tenant SaaS architecture and the complexity of enforcing per-org entitlements at scale.
- Experience with Kubernetes and container orchestration for deploying and operating production services.
- Strong computer science fundamentals including data structures, algorithms, and system design.
- Experience with CI/CD pipelines and tools such as GitHub Actions or Jenkins.
- Demonstrated skills using code repositories and collaboration tools (GitHub, JIRA, Confluence, or similar).
- Experience working with globally distributed teams.
- Excellent problem-solving skills and ability to debug complex data consistency issues across distributed systems.
Bonus Points:
- Experience with usage-based billing models, metering pipelines, or consumption rating systems (Metronome, Lago, Amberflo, or similar).
- Familiarity with Snowflake or similar data warehousing platforms used for contract aggregation and billing logic.
- Experience building internal billing admin tooling for operational and support use cases.
- Knowledge of financial reconciliation patterns, audit trail requirements, and building systems for regulated or revenue-critical environments.
- Experience with prorated billing, invoice lifecycle management, or credit and refund processing workflows.
- Familiarity with AWS Marketplace or other cloud marketplace billing integrations.
- Understanding of CPQ (Configure Price Quote) systems and how contract data flows from CRM to provisioning.
- Experience with Druid, ClickHouse, or other OLAP systems used for real-time usage analytics.
- Knowledge of Infrastructure as Code tools such as Terraform or Pulumi.
- Experience with observability and monitoring tools (Datadog, Prometheus, Grafana, or OpenTelemetry).
- Familiarity with service mesh technologies (Istio, Linkerd) and mTLS.
- Fullstack capable with experience building internal tooling UIs.
- A passion for building systems where the correctness of data has direct commercial consequence.
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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.