Senior Backend Engineer (Python, SQL & AI Integration)

About this role

Backend Engineer Role Overview Seeking a Senior Backend Engineer to design and build the automated GCP billing pipeline for the UC-003 Billing Prep use case. This role transitions a manual, Excel-based process into a rules-driven, AI-augmented platform integrated with GCP infrastructure and the Impact billing system. Role Details Job Title: Backend Engineer Reporting To: Solution Architect / Tech Lead Engagement Type: Full-time Location: Hyderabad Office Experience: 5-8 YOE Required Qualifications (Must Haves) 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.