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Senior Security Application Engineer

BitGo - Palo Alto, CA, United States - In-office - posted 2026-09-30

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Salary: USD 200,000 - 235,000 / annual

BitGo (NYSE: BTGO) is seeking a Senior Security Application Engineer to lead the technical execution of product security strategy for a high-growth FinTech and Web3 digital asset platform. This role focuses on securing blockchain-adjacent technologies and building end-to-end security programs integrated directly into the software development lifecycle. Key Responsibilities: - Lead comprehensive threat modeling and product security architecture reviews in collaboration with cross-functional engineering teams - Integrate security automation into CI/CD pipelines using 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 penetration testing engagements - Secure next-generation AI-integrated applications by establishing input/output validation protocols and LLM guardrails - Engineer proactive defenses against sophisticated adversaries and nation-state-level threats The role requires full-time onsite presence at the Palo Alto office to support collaborative team dynamics and innovative problem-solving. 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 equivalent technical field

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