Senior Application Security Engineer
- Compensation
- $135K–$180K / yr
- Location
- United States
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Security
- Posted
Skills
Must have
- Vulnerability management, automated. Experience running vulnerability management end to end, and automating it with code against scanner, ticketing, and source-control APIs
- An engineering background. You have shipped and maintained real software. You read unfamiliar code quickly, review it rigorously, and reason about architecture and failure modes.
- Ownership to done. You take problems all the way through, including fixes that depend on other teams. You follow up on the fix you recommended three sprints ago.
- Judgment over tenure. We care more about the depth of your judgment than your years of experience.
- Code auditing in at least one of Go, Python, Node.js, Ruby, or Java, and the willingness to work in the rest
- Practical command of the OWASP Top 10, with real depth in broken access control and business logic flaws
- SAST, DAST, and SCA in CI/CD, tuned so engineers trust the output. Cloud fundamentals on GCP or AWS. Docker and Kubernetes.
- You separate real findings from theoretical ones.
- You disagree in the open, with evidence, and update when someone brings better evidence.
- Your influence travels asynchronously, across time zones, to people with strong opinions and no reporting line to you.
Nice to have
- Scaling security tooling across many repositories, languages, and build systems
- Prior experience writing custom static analysis rules (Semgrep, CodeQL, or similar)
- Fintech, payments, or other environments under serious third-party security review (PCI DSS, SOC 2, customer audits)
- Fully distributed, asynchronous engineering experience
- Offensive experience in whatever form you found it. Pentesting on web, API, mobile, or cloud is the most directly relevant. Hardware and embedded work, physical security and lock sport, red team engag
- Advanced offensive certifications. OSWE and BSCP are the most relevant; CPTS, CRTO, and similar also count.
- Public work: research, tooling, disclosures, talks
Full description
Who we are:
Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com rely on Sardine to secure and grow trust in their products.
Our culture:
- We hire talented, self-motivated individuals with extreme ownership and high growth orientation.
- We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule.
- We're a remote-first team spread across time zones, so no office to report to - work from wherever helps you do your best work. Just a couple of things to keep in mind: pay is based on where you're located, and you'll need to keep a home base in the country you're hired in. So while we love the "coffee shop today, mountains tomorrow" life, this isn't a passport-optional, work-from-anywhere-on-Earth kind of remote - think flexible within your country, not borderless.
Location:
- Remote - United States
The role
Sardine makes risk and payment decisions for banks and fintechs. Our customers audit us closely, and application security is a large part of what they examine.
Money moves through this platform, so real adversaries study it. Your job is to find what they would find, especially authorization flaws and business logic abuse, and then make the whole class of bug go away.
The application security team is small. The estate is large: Go, Node.js, Python, Ruby, and Java services running on multi-cloud and Kubernetes. That ratio shapes the work. Findings arrive from scanners, code review, testing, threat modeling, pentesters, and bug bounty hunters. You turn that stream into a pipeline that validates, routes, and closes issues with as little manual effort as possible. Then you use what the pipeline tells you to remove root causes: secure defaults, patterns engineers reach for first, and fixes that hold.
Little here is pre-decided. You determine where the risk is and go after it.
The work
Where most of your time goes
Running and automating the vulnerability pipeline
- Triage, validate, route, and drive remediation of findings from every source: SAST, DAST, SCA, code review, pentests, and bug bounty