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Genie Platforms
AI SDR / GTM platform
Senior Software Engineer · AI Platform
Server-side platform for conversational AI used by sales, RevOps, and go-to-market teams — an AI SDR that has to run as production services, not a chat demo.
01Problem
Conversational GTM workflows had to run as evented production services: APIs, partner integrations, and several data stores — not a standalone prototype that dies when a third-party call fails.
02Selected contributions
Owned server-side technical direction and roadmap for the Genie Platforms backend. Designed the NestJS microservice layout, APIs, and Kafka paths, and wired persistence across PostgreSQL, MongoDB, and Redis plus partner integrations. The GTM clients are the product surface; this engagement was the services underneath them.
- Server-side microservice architecture and API contracts
- Kafka streaming paths between services
- Persistence across PostgreSQL, MongoDB, and Redis
- Partner and third-party integrations on the AWS / Kubernetes path
03System context
NestJS services expose APIs, stream work over Kafka, persist in PostgreSQL, MongoDB, and Redis, and call partner APIs. The platform runs on Kubernetes on AWS. Amplication was in the scaffolding/tooling mix; it is not claimed as the production architecture.
- GTM product surfaceOutside my scopeCalls the APINestJS servicesMy scope
- NestJS servicesMy scopeStreams workKafka
- NestJS servicesMy scopePersists dataPostgreSQL · MongoDB · Redis
- NestJS servicesMy scopeCalls an external systemPartner APIsOutside my scope
- NestJS servicesMy scopeRuns onKubernetes on AWS
My scope in the system: NestJS services
Implementation tools
Amplication (scaffolding, not the production architecture). Not runtime services.
04Scale & constraints
- Event-driven microservice backend
- Polyglot persistence: PostgreSQL, MongoDB, Redis
- Third-party and partner API integrations
- Kubernetes on AWS as the runtime
05Outcome
A production microservice backend on Kubernetes / AWS, with Kafka-backed integrations instead of a single service talking to every store. Throughput and conversion figures are not published.
- Microservice backend in production on Kubernetes / AWS
- Kafka paths across PostgreSQL, MongoDB, and Redis
06Stack
- Node.js
- NestJS
- KafkaJS
- PostgreSQL
- MongoDB
- Redis
- Kafka
- Docker
- Kubernetes
- AWS
- Amplication
No verified public metrics are published for this engagement.
Categories: AI, SaaS
Year: 2024