- 5+ years backend engineering experience with Python or Go in production settings.

- Deep technical capability in GCP core services : Cloud Run, Cloud SQL (PostgreSQL), Cloud Scheduler, Pub/Sub, Cloud Build, Artifact Registry, Cloud Monitoring, and Cloud Armor.

- Hands-on expertise building rules engines, configurable business logic frameworks, RESTful microservices, and event-driven architectures.

- Advanced PostgreSQL proficiency (schema design, indexing, transaction optimization) and CI/CD / DevOps practices.

- Prior background integrating with ERP/financial billing environments (PeopleSoft, SAP, Oracle) and processing financial data pipelines (charge reconciliation, accounts payable).

Good to Have :

- GCP Professional Cloud Developer or Professional Data Engineer certification.

- Real estate financial operations domain experience.

- Exposure to workflow orchestration tools (Cloud Workflows, Prefect) and calling LLM/AI services (Vertex AI SDK) from backend systems.

Key Responsibilities :

- Rules Engine & Pipeline Development : Build GCP-native rules engines for BIL file processing (PeopleSoft data classification, PO reconciliation, charge code splits) and expose REST APIs on Cloud Run.

- Data Ingestion & Integration : Create automated ingestion pipelines using Cloud Scheduler and Pub/Sub, and build resilient, bidirectional integrations with the Impact billing system.

- Database Architecture & State : Design PostgreSQL schemas on Cloud SQL, implementing full audit logging, data versioning, and batch rollback capabilities.

- Platform Operations & CI/CD : Establish Cloud Build automated testing gates, implement structured monitoring/alerting, enforce Cloud Armor security controls, and support UAT through go-live.

The job is for:

May work from home