Senior Backend Engineer
Listed on 2026-07-17
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Software Development
Backend Developer
About the job
Job Description
We are l hiring a Senior Backend Engineer with deep Django expertise to help drive the next generation of RangeGPT—an intelligent cyber range design and analysis platform that blends real-time infrastructure automation, scalable backend services, and AI-driven orchestration.
RangeGPT empowers cybersecurity teams to design and deploy realistic training environments using natural-language interaction, semantic retrieval, and automated scenario generation. In this role, you’ll build and evolve the backend systems that make this possible—owning schema design, API development, service architecture, and integration with AI-driven workflows.
This position is ideal for engineers who love shaping robust backend systems, working across data models and distributed services, and solving complex problems at the intersection of Django, infrastructure automation, and AI-enabled application architecture.
Key Responsibilities Strategic & Operational Leadership- Design, implement, and maintain backend services using Python and Django, powering RangeGPT’s API, orchestration, and data layers.
- Lead PostgreSQL schema design and migrations, ensuring strong data modeling, performance, and long-term evolution.
- Develop and enhance RESTful APIs consumed by a React-based frontend and internal services.
- Create, manage, and manipulate complex JSON structures for API payloads, system configuration, and AI-driven workflows.
- Build backend logic that drives cyber range creation, cloud resource provisioning, and infrastructure automation.
- Contribute to infrastructure-as-code workflows and backend automation pipelines supporting dynamic deployment.
- Implement backend components that account for networking, service interconnects, and environment-aware logic.
- Collaborate closely with frontend engineers to ensure seamless integration between Django REST APIs and the React UI.
- Manage containerized development and runtime environments using Docker.
- Support CI/CD workflows, preferably using Azure Dev Ops.
- Participate in architecture discussions focused on scalability, modularity, reliability, and long-term maintainability.
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