Senior Software Engineer, Risk

United States Digital Space LLC; Deutschland; Vor Ort; EUR 65.000 - 85.000; Vollzeit

Benefits dieser Stelle

Competitive Salary & Equity

Health, Dental, Vision and Life Insurance

Flexible Time Off (FTO)

Autonomous Work Environment

Quarterly Team Gatherings

Zusammenfassung

United States Digital Space LLC is seeking an experienced Security Engineer to design and implement innovative solutions for detecting and responding to abuse scenarios in AI-generated content.

The role involves building LLM guardrails, analyzing attack patterns, and collaborating with cross-functional teams. Strong skills in Python, data analysis, and incident response are essential. Benefits include competitive salary, health insurance, and flexible time off.

Qualifikationen

• 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 data analysis at scale.
• Experience building or fine-tuning ML/LLM-based classifiers.

Aufgaben

• Design and implement LLM guardrails for abuse detection.
• Build AI-powered systems for identifying malicious patterns.
• Analyze attack patterns and create detection rules.
• Track abuse trends and adapt defenses.

Kenntnisse

Security engineering

Programming (Python, TypeScript)

Data analysis

ML/LLM-based classifiers

Investigation of abuse patterns

Clear communication

Familiarity with attack patterns

Tools

BigQuery

Slurper

Snyk

CI/CD tools

Kubernetes

Jobbeschreibung

About the role

the company is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, the company is democratizing software development by removing traditional barriers to application creation.

In this role you will…

• 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

Required skills and experience

• 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

Tools + Tech Stack for this role

• Languages: Python, TypeScript, Go, SQL
• Data: BigQuery, Hex
• Detection tools: Slurper, Netwatch, Stytch (device fingerprint); ClearOut (email reputation)
• CI/CD Security: Dependabot, Snyk, SAST/SCA scanners
• Infrastructure: GCP, Kubernetes
• Collaboration: Linear, Slack, Zendesk (for abuse reports)

This role may not be a fit if

• You prefer deep security research over building operational detection systems
• You want to focus on vulnerability management, pentesting, or bug bounty triage (that’s our Security team)
• You’re looking for a role with predictable, well-defined problems rather than constantly adapting to adversarial behavior
• You prefer working in isolation rather than partnering closely with Support, Legal, and cross‑functional teams
• You’re uncomfortable making enforcement decisions that affect real users

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)

This is a full‑time role that can be held from our Foster City, CA office. The role has an in‑office requirement of Monday, Wednesday, and Friday.

To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non‑traditional backgrounds.