Software Engineer

RunSybil

$180K — $250K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years of experience in building customer-focused products or platforms
  • Strong knowledge of distributed systems, their failures, and recovery methods
  • Demonstrated ability to scale products to meet high demand
  • Proficiency in Python and TypeScript with full-stack versatility
  • Familiarity with cloud services (AWS, GCP, Azure) and deployment practices
  • Expertise in applying AI and LLMs for product innovation
  • Experience with observability tools and debugging in live production environments
  • Background or interest in security and penetration testing

Responsibilities

  • Design and develop secure, scalable systems for automated penetration testing
  • Own feature development from design to deployment and monitoring
  • Identify product gaps and proactively propose initiatives
  • Lead architecture discussions and contribute to design decisions
  • Translate unclear challenges into actionable plans and execute with the team
  • Scale backend and data systems to meet increasing customer needs
  • Integrate AI capabilities into the product to enhance functionality
  • Ensure system reliability and performance, managing recovery in case of issues
  • Set and maintain high standards for code quality and engineering culture

Benefits

  • Hybrid work environment based in New York City
  • Equity options to foster a sense of ownership among employees
Full Job Description
About this Role

Building Sybil means working on hard problems at the intersection of AI and offensive security. This is a role for engineers who want real ownership over what they ship and care about the quality of what they build. The engineers who thrive here move quickly on ambiguous problems, build infrastructure that scales, and care deeply about the quality of what they ship.

What You'll Do:
  • Design, build, and ship secure, scalable systems that power automated penetration testing at scale
  • Own features end-to-end: from technical design through deployment and production monitoring
  • Identify gaps in the product and propose technical initiatives to close them, without waiting to be asked
  • Lead technical design discussions and contribute meaningfully to decisions on architecture, tooling, and approach
  • Translate ambiguous challenges into clear plans and execute them in close collaboration with the team
  • Scale backend systems and data infrastructure to stay ahead of growing customer demand
  • Integrate and extend AI and LLM capabilities, including agents and agentic workflows, directly into the Sybil product
  • Take ownership of reliability and performance, including when things break and how to recover
  • Set and uphold high standards for code quality, craftsmanship, and engineering culture as we grow

We're looking for someone who brings:
  • 6+ years building products or platforms that serve real customers
  • Strong foundation in distributed systems, including how they fail and how to recover
  • Experience as a core contributor on a team that scaled a product to meet significantly increased demand
  • Proficiency with Python and TypeScript; comfort working across the stack when needed
  • Familiarity with cloud platforms (AWS, GCP, or Azure), containerization, and modern deployment practices
  • Deep understanding of how to apply modern AI and LLMs for real product impact
  • Experience with observability tooling and a track record of debugging hard problems in production
  • An interest in or background in security, penetration testing, or offensive security tooling
  • A track record of picking up what needs to be done and doing it, without needing a defined lane
  • Strong communication skills: you can explain technical tradeoffs clearly to teammates and collaborators

Location: Hybrid role based in New York City.

Compensation: The base salary for this full-time position ranges from $180,000-$250,000. In addition to base salary, we offer meaningful equity. We want everyone here to have ownership in what we're building.

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