Software Engineer

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About The RoleThe Software Engineer will be a key contributor to the Billing Platform Team, building and maintaining the TypeScript microservices that power Kong's commercial infrastructure. You'll work across the full billing lifecycle, developing features for subscription management, entitlement provisioning, usage metering, and CRM integrations, while growing your expertise in distributed systems and financial platform engineering. This role requires solid backend fundamentals, TypeScript proficiency, and a strong sense of ownership in a domain where data accuracy directly impacts revenue.
What You'll Do
Develop and maintain TypeScript microservices that support billing lifecycle management across self-serve and enterprise plan models.
Build and maintain integrations with payment processing and usage metering platforms for invoice generation and consumption tracking.
Implement reliable event-driven features using Kafka or similar platforms to process billing state transitions, entitlement updates, and provisioning triggers.
Contribute to the entitlement enforcement layer that controls product access based on customer plan and contract state.
Work on provisioning workflows that automate the path from sales contract events to live org configurations.
Collaborate with senior engineers, RevOps, and finance stakeholders to deliver accurate and auditable billing behavior.
Write clean, maintainable, well-tested code with comprehensive unit and integration tests across financial workflows.
Participate in code reviews and design discussions, with a focus on correctness and operational reliability.
Monitor service health and contribute to operational improvements for billing platform services.
Participate in on-call rotation to support the reliability of billing platform services.
What You'll Bring
3+ years of professional software engineering experience building backend services.
Strong proficiency in TypeScript and Node.Js with experience building production services, ideally with NestJS or a similar framework.
Solid experience with relational databases (PostgreSQL or similar) including data modeling and query design.
Experience building or consuming REST APIs and working with third-party service integrations.
Understanding of event-driven architecture patterns and message-based systems (Kafka, SQS, or similar).
Familiarity with distributed systems concepts including eventual consistency, idempotency, and failure handling.
Experience with multi-tenant SaaS systems and awareness of per-tenant data isolation requirements.
Experience deploying and operating services on Kubernetes in a cloud environment.
Solid 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 such as GitHub, JIRA, Confluence, or similar.
Experience working with globally distributed teams.
Strong debugging skills and ability to trace data consistency issues across service boundaries.
Bonus Points
Experience with billing or payment platforms such as Stripe, Chargebee, Zuora, or usage metering systems such as Metronome or Lago.
Familiarity with CRM-driven provisioning workflows or Salesforce event consumption.
Exposure to Snowflake or other data warehouse platforms used for business logic or contract aggregation.
Experience with ClickHouse, Druid, or similar OLAP systems for usage and analytics data.
Knowledge of subscription lifecycle concepts including trials, prorations, renewals, and credits.
Experience building internal admin tooling for operational or support use cases.
Familiarity with AWS services such as EKS, RDS, SQS, S3, or similar.
Knowledge of Infrastructure as Code tools such as Terraform or Pulumi.
Experience with observability and monitoring tools such as Datadog, Prometheus, Grafana, or OpenTelemetry.
Fullstack capable with experience building lightweight internal UIs.
A genuine interest in systems where data correctness has real commercial stakes.
Experience with Docker, Kafka, CDC, or Flink is a plus.
About KongKong 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
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