Senior C# Backend Engineer — Real-Time Services (Remote)

ScaleReal; United States; Remote; USD 9,500 - 19,000; Full time

Benefits offered by this job

Remote-friendly

Open-source contributions

Flexible hours

Job summary

ScaleReal in India is seeking a skilled backend engineer to build real-time services that process sensor and camera events, coordinate partner integrations, and handle parking-session billing and payments. You will implement APIs and background workers, design event-driven architectures, and ensure accurate processing despite external failures.

Emphasis on cloud infrastructure, data persistence, testing, and observability.

Qualifications

• At least four years of production software experience in an OO language.
• Experience with event-driven systems and messaging.
• Familiarity with Azure or comparable cloud services.
• Strong testing habits including unit/integration tests.
• Knowledge of domain-driven design and system design.

Responsibilities

• Develop APIs and background workers that process field events and issue timely commands.
• Build event-driven services and partner integrations using messaging and HTTP interfaces.
• Implement billing workflows, including payment authorization, capture, refunds, invoicing, and webhook reconciliation.
• Persist and manage business data across relational and document databases, with attention to query performance.
• Build observability, automated tests, and deployment workflows for cloud-hosted services.
• Use infrastructure as code to manage cloud resources and support reliable releases.

Skills

C#

Java

Kotlin

Domain-driven design

Immutability

Unit testing

Tools

Azure

SQL

Terraform

HTTP APIs

Job description

ScaleReal in India is seeking a skilled backend engineer to build real-time services that process sensor and camera events, coordinate partner integrations, and handle parking-session billing and payments. You will implement APIs and background workers, design event-driven architectures, and ensure accurate processing despite external failures.

Emphasis on cloud infrastructure, data persistence, testing, and observability.