Backend Software Engineer
Theori · United States ·
- Work mode
- Remote
- Category
- Backend
- Experience
- 5+ years
Theori · United States ·
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.
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.
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.
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