Senior Backend Engineer (Python, SQL & AI Integration)

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.