About the role
We’re looking for an experienced backend engineer to help build and scale the next generation of AI-driven cybersecurity platforms at Theori. You’ll play a key role in architecting and implementing core backend systems that power Xint, our autonomous penetration testing framework.
This is a foundational role in our NA engineering team—ideal for someone who thrives on solving complex systems challenges, enjoys designing for scale and reliability, and wants to help define engineering excellence in a fast-growing, AI-first company.
Key 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.
Nice to Have
- 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.
What We Offer
Compensation & Benefits
- Competitive salary + equity
- Health, dental, and vision insurance
- Generous PTO policy
- Remote work
- Laptop + home office stipend
Engineering Culture
- Ship features that matter
- Modern Python-based stack (FastAPI, Redis, PostgreSQL, Docker)
- Strong focus on testing and quality
- Clear documentation and processes
- Collaborative, low-ego team
- Career growth and mentorship
Work-Life Balance
- Flexible hours, remote-first culture
- Focus on outcomes, not hours