Senior Security Application Engineer

This role will require being full-time onsite at our Palo Alto office to support collaborative team dynamics and innovative problem-solving.

We are seeking a Senior Application Security Engineer to lead the technical execution of our product security strategy. This role focuses on 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.

The ideal candidate has a deep engineering background, hands-on experience defending complex cloud environments, and a passion for securing blockchain-adjacent technologies.

• 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.

• 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.

Pay Transparency Notice: Depending upon your leveling and location, the compensation for this role averages between $200,000 - $235,000 USD base salary. Equity, an annual performance bonus and the benefits outlined below are also a part of this role's package.