Backend Software Engineer

Theori

United States

Remote

USD 140,000 - 210,000

Full time

14 days+
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Benefits offered by this job

Remote work
Equity
Laptop + home office stipend

Job summary

Theori is seeking an experienced backend engineer to help build and scale its AI-driven cybersecurity platforms. You’ll architect and implement core backend systems powering Xint, our autonomous penetration testing framework, and drive scale, reliability, and engineering excellence across the NA team.

Join a fast-growing AI-first company with a collaborative culture, mentoring opportunities, and a strong emphasis on testing, CI/CD, and secure APIs.

Qualifications

  • 5+ years building production software systems.
  • Strong Python skills; backend services, FastAPI preferred.
  • Solid system design and distributed architectures experience.
  • Experience with Redis, PostgreSQL, and Docker environments.
  • Familiarity with AI/LLM workflows or asynchronous architectures.
  • Based in US or Canada.

Responsibilities

  • Architect, develop, and maintain backend services and APIs powering 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 APIs.
  • Build and optimize data pipelines supporting LLM agent workflows and real-time scanning.
  • Establish backend best practices, CI/CD processes for the US team.
  • Write clean, well-tested, maintainable code in Python and related technologies.
  • Mentor junior engineers and contribute to engineering culture.

Skills

Python
Backend design
Distributed systems
LLM workflows
Event-driven architecture
Mentoring
Ownership

Tools

Redis
PostgreSQL
Docker
FastAPI

Job description

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

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