Staff Application Security Engineer

Fingerprint empowers enterprises to detect and stop online fraud with the world’s most accurate device intelligence. We lead our industry with bleeding-edge identification capabilities and work on turning new ideas and discoveries in the fraud detection space into reality. Our customers range from innovative startups to leading enterprise companies, including Plaid, Dropbox, and Booking.com.

Fingerprint is a globally dispersed, 100% remote company. We were named on on the 2026 Forbes Best Startup Employers list and ranked #803 on the 2026 Inc. 5000 list of America’s fastest-growing private companies.

We have raised $77M and are backed by Craft Ventures ( Tesla, Facebook, Airbnb ), Nexus Venture Partners ( Postman , Apollo.io, MinIO , Druva) and Uncorrelated Ventures ( Redis, Rollbar, Gradle ).

The Role in Context

Fingerprint's device intelligence platform processes billions of identification events for some of the world's most security-conscious companies — financial institutions, fraud prevention operators, and enterprises that rely on us to stop attackers. That makes our own application security a product feature, not a back-office function: our customers' adversaries are, by definition, motivated to probe what we build.

As we scale with large enterprise customers, we're investing in application security as a dedicated, first-class engineering discipline. Security is already part of how our teams build — scanning in the pipeline, a Cloud Platform team that treats security as a partner, and a mature compliance posture — and we're now standing up a focused AppSec function, led by a Senior Manager, Application Security who owns the program and strategy, to take it to the next level. You will be the founding senior engineer of that function — the person who turns strategy into a working secure SDLC, finds and fixes what matters, and raises the security bar across engineering through technical depth, tooling, and influence.

This is a hands-on Staff role. You will design, build, and operate — not just advise.

What You'll Do

Secure SDLC & Security Engineering

Design and build Fingerprint's secure development lifecycle: security requirements, threat modeling at design time, secure code review, and pre-release security testing — integrated into how engineers already work, not bolted on as a gate

Own and operate the security tooling pipeline: SAST, DAST, SCA/dependency scanning, secrets detection, and container/IaC scanning (Snyk and equivalents) — tuned for signal over noise, integrated into CI/CD, with clear ownership and SLAs for findings

Build the pipeline AI-first: AI-assisted triage and auto-remediation, security review agents that run inside the coding-agent loop and in CI, and AI-augmented testing — and decide, with evidence, what each is trusted to block, flag, or fix on its own

Build paved-road security: secure defaults, hardened libraries and frameworks, reusable patterns (authn/authz, input validation, secrets handling, crypto) that make the secure path the easy path

Write code. Contribute fixes, security libraries, CI integrations, and automation directly to engineering repositories

Threat Modeling, Security Reviews & Vulnerability Management

Lead threat modeling and architecture security reviews for new products, features, and significant changes across the API, SDKs (web and mobile), dashboard, and data pipeline

Run and mature the vulnerability management program: triage, risk-rate, and drive remediation of findings from scanners, pen tests, bug bounty, and customer reports — with clear severity standards and remediation SLAs

Partner with the Compliance Lead, who runs the penetration testing program today, on scoping, retesting, and turning findings into engineering work — you bring the technical depth and own remediation

Perform hands-on security testing of Fingerprint's platform — manual review and exploitation of authn/authz, API, injection, SSRF, business-logic, and abuse-path issues — with particular attention to the fraud and bot-detection threat surface where adversaries actively attempt to defeat the product

Incident Response & Detection (application layer)

Serve as the technical lead for application-layer security incidents: investigation, containment, root cause, and remediation — partnering with Cloud Platform on infrastructure incidents

Define what application security logging and alerting should exist, and partner with Cloud Platform and engineering teams to get it built

Security Culture & Enablement

Act as the AppSec partner to engineering teams: office hours, design consultations, secure coding guidance, and a Security Champions program that scales your impact beyond one person

Develop and deliver practical secure coding training grounded in Fingerprint's real codebase and real findings

Mentor engineers in security thinking and raise the bar through code review and design feedback

Partnership & Customer Trust

Partner with the Senior Manager, Application Security on the AppSec roadmap: bring technical findings, risk assessments, and recommendations that shape priorities; own execution of the technical program

Provide the engineering evidence behind security controls when compliance needs it — you make the controls real; the compliance program is owned elsewhere

Support enterprise customer security conversations with technical depth: questionnaires, architecture questions, pen test summaries, and due diligence calls with customer InfoSec teams

Contribute to vendor security assessments where third-party code or integrations touch the platform

What We're Looking For

Required

8+ years in software engineering and/or security engineering, with 5+ years focused on application security — you've been the hands-on AppSec engineer at a product company, not a consultant or auditor passing through

Strong software engineering foundation: You write production-quality code (TypeScript/JavaScript, Go, Python, or similar), understand modern web and API architectures, and are comfortable working inside engineering repositories and CI/CD pipelines

Deep practical AppSec expertise: OWASP Top 10 and beyond — authentication and authorization design, API security, injection classes, SSRF, cryptography misuse, business-logic and abuse flaws. You can find these issues by hand, explain why they matter, and propose fixes engineers accept

Threat modeling and security review experience: You've led design-time security reviews for complex systems and produced threat models that engineers used

Security tooling program experience: You've deployed and tuned SAST/DAST/SCA/secrets-detection tooling in CI/CD and made it useful rather than noisy

AI-native security tooling: You've run AI-assisted code analysis, triage, or auto-remediation in a real program — not a trial — and have earned opinions about where it's trustworthy, where it generates noise, and what should be allowed to block a merge. You use AI agents daily in your own security work

Vulnerability management ownership: You've run triage, severity rating, remediation tracking, and pen-test programs with real SLAs

Influence without authority: A track record of raising security outcomes across engineering teams through credibility, partnership, and good tooling — not mandates

Clear communication: You write precise findings and design feedback, and you can explain technical risk to engineers, leadership, and customer security teams alike

Nice to Have

Experience in fraud detection, bot mitigation, identity, or device intelligence — the adversarial threat surface here is real and domain-specific

Cloud security depth on AWS (IAM, network boundaries, secrets management, workload identity) and familiarity with Wiz or equivalent CSPM tooling

Client-side and mobile SDK security: browser security model, anti-tampering, obfuscation trade-offs, iOS/Android SDK hardening

Multi-tenant SaaS experi