Backend Engineer
Summary
Builds and maintains a portable AI-assisted cybersecurity platform integrating tools, scans, and reporting for cloud/air-gapped environments; focuses on backend APIs, dashboards, and secure engineering practices.
Develop and maintain a portable AI-assisted cybersecurity platform that integrates cybersecurity tools, AI workflows, scan outputs, findings, and reporting into a unified dashboard deployable across both off-premise cloud and on-premise air-gapped environments.
(Please note that this is a contract role and you will be placed in a government related project.)
Key Responsibilities
- Build and maintain the platform backend, APIs, dashboard, and reporting modules.
- Develop data ingestion pipelines to aggregate and normalise outputs from vulnerability, web application, SBOM, container, compliance, and security scanning tools.
- Integrate cybersecurity tools into guided assessment workflows, including Nessus, Burp Suite, Kali Linux tools, Wireshark, and equivalent platforms.
- Support deployment across cloud-based development environments and on-premise air-gapped laptops.
- Implement logging, audit trails, access controls, and secure engineering practices across the platform.
- Maintain CI/CD pipelines, deployment scripts, and infrastructure configurations.
Key Requirements
- 3-5+ years of experience in Software Engineering, DevOps, Platform Engineering, or related fields.
- Proficiency in Python or Node.js/TypeScript and REST API development.
- Experience with modern frontend frameworks and dashboard development.
- Experience with AWS services, containerisation, and CI/CD pipelines.
- Familiarity with application security, container security, vulnerability management, and common security scanning tools.
- Ability to understand legacy setups, refactor existing code, and propose practical improvements.
Preferred Attributes
- Strong focus on Developer Experience and maintainable, scalable engineering practices.
- Comfortable working across frontend, backend, infrastructure, and security tooling.
- Experience designing portable systems that support offline deployment and reproducibility.
- Familiarity with integrating AI workflows or model outputs into backend services.
- Awareness of secure software development practices, including handling sensitive data and access control.