Senior Software Engineer, Anti-Abuse & Security
Remote • Foster City, CA • FullTime
Posted 6mo ago
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
The Anti-Abuse team at Replit is responsible for defending the platform from exploitation by detecting and shutting down various forms of abuse, including phishing, cryptomining, and LLM token farming. This role involves building advanced detection systems, heuristics, and automated responses to stay ahead of constantly adapting attackers. A unique aspect of this position is the AI-native nature of Replit's platform, offering hands-on experience in applying AI to security problems, such as building guardrails for AI-generated code, detecting prompt injection attacks, and using LLMs defensively. You will own problems end-to-end, from identifying abuse patterns to shipping scalable solutions.
Responsibilities
- Design and implement LLM guardrails for AI-generated code and agent interactions.
- Build AI-powered detection systems using LLMs to identify malicious patterns and automate responses.
- Develop and operate abuse detection systems for phishing, cryptomining, account takeover, and financial fraud.
- Design automated response mechanisms to enforce platform policies.
- Manage the full abuse response lifecycle: detection, investigation, enforcement, and appeals.
- Analyze attack patterns using BigQuery and Hex to create new detection rules.
- Maintain and extend internal detection tools like Slurper and Netwatch.
- Integrate and tune security scanners (SAST, SCA) in CI pipelines with performance SLAs.
- Track abuse trends, measure detection effectiveness, and adapt defenses.
Requirements
- 4+ years of experience in security engineering, anti-abuse, trust & safety, or fraud detection.
- Strong programming skills in Python and/or TypeScript.
- Experience with SQL and large-scale data analysis (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, account takeover, credential stuffing, resource abuse).
- Clear communication skills for cross-functional collaboration.
Benefits
- Competitive Salary & Equity
- 401(k) Program with a 4% match (US Only)
- Health, Dental, Vision and Life Insurance
- Short Term and Long Term Disability
- Paid Parental, Medical, Caregiver Leave
- Flexible Time Off (FTO) + Holidays
- Commuter Benefits (In-Office Only)
- Monthly Wellness Stipend
- Autonomous Work Environment
- In Office Set-Up Reimbursement (In-Office Only)
- Quarterly Team Gatherings
- In Office Amenities (In-Office Only)