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Senior Security Application Engineer

Open 36d

You will lead the technical execution of the product security strategy, securing high-growth FinTech and Web3 digital asset platforms by building end-to-end security programs and integrating automated security controls directly into the software development lifecycle. You'll bring a deep engineering background, hands-on experience defending complex cloud environments, and a passion for securing blockchain-adjacent technologies. You'll lead threat modeling and architecture reviews, integrate security automation into CI/CD pipelines, architect secure cloud infrastructure, design encryption and key management systems, oversee bug bounty and incident response programs, and secure AI-integrated applications against emerging threats.

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

  • 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
  • Stock options

See also

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