Software Security Engineer (Embedded)
WRITER is on the hunt for a talented Software Security Engineer (Embedded) to spearhead the design, development, and scaling of security systems that safeguard our users, their sensitive data, and their interactions with our cutting-edge AI/AGI services.
We believe security should be a seamless and invisible shield for our customers – seamlessly integrated into the platform, yet robust and unyielding against any potential threats. In this role, you'll fuse your profound software engineering skills with a product-focused mindset to build groundbreaking security tools, frameworks, and controls that empower millions of users without hindering their experience.
Your mission will be to fortify our defenses against fraud and abuse, strengthen our identity systems, and establish secure-by-default development platforms that enable our engineering teams to innovate rapidly without compromising security. If you're passionate about translating complex security requirements into elegant, developer-friendly solutions, this is your opportunity to shine.
Role Boundaries & Collaboration
What You'll Own (Responsibilities):
Customer authentication and authorization systems
Fraud and abuse detection systems
Customer-facing AI security controls
Internal security platforms and tools
Security libraries and frameworks for engineering teams
Security metrics and dashboards
What You Won't Own (Led by Others):
Employee identity systems (Enterprise/Corporate)
Infrastructure identity (Cloud/Infrastructure)
AI security research (AI Security)
Infrastructure security tools (Cloud/Infrastructure)
Compliance requirements (GRC)
Key Partnerships:
AI Security: They identify threats; you build customer-facing protections.
Detection & Response: They detect attacks; you build proactive prevention systems.
Cloud/Infrastructure: They provide the infrastructure; you integrate security features.
Enterprise/Corporate: You'll maintain a clear boundary between customer and employee identity.
Your Mission:
Protect Customers at Scale: Develop robust fraud detection, rate limiting, abuse prevention, and LLM interaction controls (prompt injection prevention, output filtering).
Own Customer Identity Security: Design and implement authentication and authorization systems, safeguarding customer data and AI service interactions.
Engineer Security Platforms: Create tools and dashboards that automate security tasks, track vulnerabilities, and boost cross-team efficiency.
Build Reusable Security Frameworks: Develop secure-by-default APIs, SDKs, cryptographic libraries, and communication frameworks for organization-wide adoption.
Strengthen Platform Security: Implement multi-party authorization, secrets management, audit logging, and zero-trust networking components.
Empower Developers: Deliver self-service security tools and frameworks that seamlessly integrate with existing engineering workflows.
Lead Technically: Drive the architecture of our security systems, mentor engineers, conduct design reviews, and influence our overall security strategy.
Do You Have What It Takes?
Required Experience:
8+ years of software engineering experience, building production systems.
5+ years of dedicated experience in developing security-focused tools, libraries, or platforms.
Demonstrated success in building systems adopted by hundreds of engineers.
Experience with fraud detection or abuse prevention at scale.
Deep understanding of distributed systems and API design.
Proficiency in Go, Python, or similar languages.
Technical Expertise:
Expert knowledge of software design patterns and scalable architectures.
Proficiency with authentication and authorization protocols (OAuth, SAML, OIDC).
Solid understanding of LLM security challenges and mitigation strategies.
Experience building high-performance, customer-facing systems.
Hands-on experience with data processing, analytics, and automation platforms.
Execution & Impact:
Proven track record of 90%+ adoption rates for security tools by engineering teams.
Demonstrated history of reducing security friction through automation and thoughtful design.
Proven ability to scale security systems to support millions of users.
Strong product sense and a deep understanding of customer experience.
Preferred Qualifications:
Background in fraud or risk engineering at scale.
Experience with AI/ML-specific security challenges.
Knowledge of financial security and compliance standards.
Contributions to open-source security projects.
Experience at consumer-facing technology companies.
Benefits & Perks (UK Full-Time Employees):
Generous PTO, plus company holidays
Comprehensive medical and dental insurance
Paid parental leave for all parents (12 weeks)
Fertility and family planning support
Early-detection cancer testing through Galleri
Competitive pension scheme and company contribution
Annual work-life stipends for:
Home office setup, cell phone, internet
Wellness stipend for gym, massage/chiropractor, personal training, etc.
Learning and development stipend
Company-wide off-sites and team off-sites
Competitive compensation and company stock options