Key skills
PythonFastAPIBackend Services DevelopmentSystem DesignDistributed ArchitecturesPerformance OptimizationRedisPostgreSQLDockerAI/LLM-driven WorkflowsAsynchronous Event-based ArchitecturesRustAILLMRAGSaaSCI/CDPenetration Testing
About this role
Theori is a leader in offensive cybersecurity, seeking an experienced backend engineer to help build and scale their AI-driven cybersecurity platforms. The role involves architecting and implementing core backend systems for their autonomous penetration testing framework, Xint, while collaborating with product and frontend engineers to deliver secure APIs.
Responsibilities:
- Architect, develop, and maintain backend services and APIs that power Theori’s AI security platforms
- Design for performance, scalability, and fault-tolerance across distributed systems
- Collaborate with product and frontend engineers to define and deliver secure, well-structured APIs
- Build and optimize data pipelines supporting LLM agent workflows and real-time scanning
- Establish backend best practices, coding standards, and CI/CD processes for a growing US team
- Write clean, well-tested, and maintainable code in Python and related technologies
- Mentor junior engineers and contribute to a strong, collaborative engineering culture
Requirements:
- 5+ years of professional software engineering experience building production systems
- Strong proficiency in Python, with proven experience developing reliable backend services (FastAPI preferred)
- Solid understanding of system design, distributed architectures, and performance optimization
- Experience with Redis, PostgreSQL, and Docker-based environments
- Familiarity with AI/LLM-driven workflows or asynchronous, event-based architectures
- Comfort working in an early-stage environment with evolving requirements
- Self-directed, ownership-oriented, and comfortable driving projects from design to deployment
- Based in US or Canada
- Experience with Rust
- Background in cybersecurity, application security, or vulnerability analysis
- Knowledge of message queues, task orchestration, or microservices
- Familiarity with LLM integration, RAG pipelines, or vector databases
- Prior experience in startups or B2B SaaS environments
- Previous involvement in building or scaling distributed systems or engineering teams