Security Application Engineer
As a Senior Application Security Engineer you will lead threat modeling and product security architecture reviews in collaboration with cross functional teams You will integrate security automation into CI CD pipelines and architect secure by default cloud infrastructure on AWS using Terraform and Kubernetes You will design and deploy encryption services and key management systems and oversee bug bounty programs incident response workflows and regular penetration testing engagements You will secure AI and ML lifecycles and establish input output validation protocols and guardrails
Responsibilities
- Lead comprehensive threat modeling and product security architecture reviews in collaboration with cross functional teams
- Integrate security automation into CI CD pipelines utilizing SAST DAST and continuous vulnerability management tools
- Architect and implement secure by default cloud infrastructure on AWS using Terraform and Kubernetes
- Design and deploy robust encryption services, key management systems (KMS), and advanced data protection controls across distributed environments
- Oversee operational security initiatives including corporate bug bounty programs, incident response workflows, and regular penetration testing engagements
- Secure next-generation AI-integrated applications by establishing input/output validation protocols and LLM guardrails
- Engineer proactive defenses to safeguard platform infrastructure against sophisticated adversaries and nation-state-level threats
Requirements
- 8+ years of experience engineering and scaling end-to-end security programs for high-growth startups
- Proven background securing platforms within FinTech, Web3, and digital asset ecosystems
- Strong engineering proficiency in distributed systems, microservices, and languages such as Python or Java
- Hands-on mastery of container security, Kubernetes orchestration, and AWS infrastructure hardening
- Practical knowledge of implementing technical controls to meet SOC 2 Type II and GDPR compliance standards
- Deep expertise in securing AI/ML lifecycles, MLOps frameworks, and agentic AI platforms
- Bachelor's degree in Computer Science, Engineering, or an equivalent technical field
Benefits
- Competitive base salary, bonus and stock options
- 100% company paid health insurance for employee, partner and dependents
- Up to 4% 401k company match
- Paid parental leave
- Paid vacation
- Free commuter parking pass near BART and Muni
- Free custom lunches dinners and snacks
- Computer equipment and workplace furniture to suit your needs
- Great colleagues and inspiring startup environment