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Python Backend Engineer

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Hybrid

Python Backend Engineer

Tanisha Systems

Python Backend Engineer

Skills

Google Cloud PlatformSQL QueriesPythonGolangMicroservicesPostgreSQLAIOracleSAP ERP

2 months ago

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Important information


Contract type:

Permanent

Work mode:

Hybrid

Published on:

20 August 2026

What they need


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.

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