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Senior Software Engineer, Anti-Abuse & Security

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Replit

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Location:
United States , Foster City

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Contract Type:
Not provided

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Salary:

190000.00 - 240000.00 USD / Year

Job Description:

The Anti-Abuse team is the front line defending Replit's platform from exploitation. We detect and shut down phishing deployments, prevent cryptomining on free-tier infrastructure, stop LLM token farming, and keep bad actors from weaponizing the platform against our users. This is adversarial work: attackers adapt constantly, and we build the detection systems, heuristics, and automated responses that stay ahead of them. What makes this role unique is the AI-native nature of Replit's platform. You'll work on problems that barely exist elsewhere: building guardrails for AI-generated code, detecting prompt injection attacks at scale, and using LLMs as a defensive tool against abuse. If you want hands-on experience applying AI to security problems, this is one of the few places you can do it in production with real attackers. You'll own problems end-to-end, from identifying emerging abuse patterns to shipping the systems that stop them at scale.

Job Responsibility:

  • Design and implement LLM guardrails that detect abuse scenarios in AI-generated code and agent interactions
  • Build AI-powered detection systems that use LLMs to identify malicious patterns, classify threats, and automate response decisions
  • Build and operate abuse detection systems that identify phishing, cryptomining, account takeover, and financial fraud across millions of daily user actions
  • Design automated response mechanisms that enforce platform policies without manual intervention
  • Own the full abuse response lifecycle: detection, investigation, enforcement, and handling appeals alongside Support and Legal
  • Analyze attack patterns using BigQuery and Hex, turning investigation findings into new detection rules
  • Maintain and extend internal detection tools (Slurper, Netwatch) that continuously monitor user activity
  • Integrate and tune security scanners (SAST, SCA) in CI pipelines with tight performance SLAs
  • Track abuse trends, measure detection effectiveness, and adapt defenses as attack patterns evolve

Requirements:

  • 4+ years of experience in security engineering, anti-abuse, trust & safety, or fraud detection
  • Strong programming skills in Python and/or TypeScript for building detection systems and automation
  • Experience with SQL and data analysis at scale (BigQuery, Snowflake, or similar)
  • Experience building or fine-tuning ML/LLM-based classifiers for security or abuse detection
  • Familiarity with prompt injection, jailbreaking, and other LLM-specific attack vectors
  • Ability to investigate complex abuse patterns and translate findings into automated defenses
  • Familiarity with common attack patterns: phishing infrastructure, account takeover, credential stuffing, resource abuse
  • Clear communication skills for working across Security, Support, Legal, and Engineering teams.

Nice to have:

  • Experience at a platform company dealing with user-generated content or compute abuse (hosting providers, cloud platforms, developer tools)
  • Background in fraud detection, payment abuse, or financial crime
  • Familiarity with device fingerprinting, IP reputation, and email validation services
  • Experience with CI/CD security tooling (SAST, SCA, Dependabot, Snyk)
  • Knowledge of container security, Linux internals, or cloud infrastructure (GCP preferred)
  • Prior work with abuse reporting pipelines, trust & safety tooling, or content moderation systems
What we offer:
  • Competitive Salary & Equity
  • 401(k) Program with a 4% match
  • Health, Dental, Vision and Life Insurance
  • Short Term and Long Term Disability
  • Paid Parental, Medical, Caregiver Leave
  • Commuter Benefits
  • Monthly Wellness Stipend
  • Autonomous Work Environment
  • In Office Set-Up Reimbursement
  • Flexible Time Off (FTO) + Holidays
  • Quarterly Team Gatherings
  • In Office Amenities

Additional Information:

Job Posted:
February 18, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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