Backend Engineer – GCP | Python/Go

**About the Role** We’re looking for a Senior Backend Engineer to design and build an automated GCP-based billing pipeline. You’ll help transform a manual, Excel-driven billing process into a scalable, rules-driven and AI-augmented platform integrated with GCP infrastructure and financial billing systems. This is a hands-on engineering role involving backend architecture, event-driven systems, financial data processing, and cloud-native development. **What You’ll Do** * Build GCP-native rules engines for billing file processing, data classification, PO reconciliation, and charge-code splitting. * Develop scalable RESTful microservices using Python or Go on Cloud Run. * Build automated data ingestion pipelines using Cloud Scheduler and Pub/Sub. * Develop resilient integrations with the Impact billing system and other financial/ERP platforms. * Design and optimize PostgreSQL databases on Cloud SQL, including schemas, indexing, transactions, audit logs, and data versioning. * Implement batch rollback and reliable processing workflows for financial data. * Set up CI/CD pipelines using Cloud Build, including automated testing and deployment gates. * Implement monitoring, alerting, and security controls using Cloud Monitoring and Cloud Armor. * Work closely with the Solution Architect/Tech Lead through UAT, production deployment, and go-live. **Must-Have Skills** * 5+ years of backend engineering experience in production environments. * Strong proficiency in Python or Go. * Hands-on experience with: 1. Google Cloud Run 2. Cloud SQL / PostgreSQL 3. Cloud Scheduler 4. Pub/Sub 5. Cloud Build 6. Artifact Registry 7. Cloud Monitoring 8. Cloud Armor * Strong experience building: 1. Rules engines 2. Configurable business-logic frameworks 3. RESTful microservices 4. Event-driven architectures * Advanced PostgreSQL skills, including schema design, indexing, and transaction optimization. * Strong understanding of CI/CD and DevOps practices. * Experience integrating with ERP or financial systems such as SAP, Oracle, or PeopleSoft. * Experience working with financial data pipelines, including charge reconciliation and accounts payable processes. **Nice to Have** GCP Professional Cloud Developer or Professional Data Engineer certification. Experience in real estate financial operations. Exposure to Cloud Workflows or Prefect. Experience integrating LLM/AI services, particularly Vertex AI SDK, into backend applications. Why This Role? You’ll work on a real-world transformation project that combines backend engineering, GCP, financial systems, automation, and AI. The role offers an opportunity to build core infrastructure rather than simply maintain existing applications.