Senior Security Engineer, Application Security

About Faire

Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores.

With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.

We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.

Our Engineering organization owns the software that makes our marketplace work. Our Application Security function is focused on keeping vulnerabilities out of the code and software as it's built and shipped, owning the SDLC from commit to production. We care about good engineering practice and love to write software that is secure, tested, easy to maintain, and can scale to millions of users.

We build scalable, reusable frameworks; consult with product teams; listen to the data; and iterate.

• Find and fix vulnerabilities in first-party code and third-party dependencies using AI-powered detection, SAST, DAST, SCA, and secret scanning tooling.
• Build shift-left tooling and CI/CD guardrails that make the secure path the default in the build pipeline.
• Own offensive security engagements such as penetration tests with external vendors.
• Evaluate and harden the security of AI-assisted code generation workflows.
• Own the bug bounty program and the vulnerability management lifecycle end to end, from intake through remediation and closure.
• Lead threat modeling and secure design reviews for new products and high-risk platform changes, shaping the architecture before the code is written rather than reviewing it after.
• Conduct security reviews and consultations with product and platform teams and develop secure coding standards and scaling frameworks for recurring vulnerability classes.

• Hands-on experience integrating security into the software development lifecycle.
• Experience driving vulnerability remediation across teams you do not own, with a point of view on how to set severities, hold SLAs, and get things actually closed.
• Exposure to offensive security, whether that is running a bug bounty program, scoping penetration tests with external vendors, or finding and reporting real vulnerabilities yourself.
• A passion for coding and solving security problems scalably with code and automation, rather than with process and policy.
• Comfort writing and reviewing code in OOP languages such as Kotlin, Java, Python, or Type Script, enough to read an unfamiliar service, judge whether a finding is real, and open the pull request that fixes it.
• Practical experience with App Sec detection tooling (SAST, DAST, SCA, or secret scanning), including the unglamorous parts: deploying it, tuning the rules, and cutting the false positives so engineers trust the results.
• A thorough understanding of web application security principles and common vulnerabilities, including OWASP Top 10, with an instinct for the systemic fix behind the individual finding.
• Experience leading threat models on systems you did not build, and the judgement to know which designs need one and which do not.
• Experience working in modern cloud computing environments such as AWS or GCP.
• The ability to explain risk to product engineers in a way that makes them want to fix it, and the credibility to be invited into design discussions rather than added as a gate.
• Curiosity about the security of AI-assisted development, and interest in figuring out what changes when a meaningful share of the code is machine-generated.

• Kotlin, Typescript, Python
• App Sec tooling - SAST/DAST/SCA/secret scanning
• AWS, OCI, Terraform, Kubernetes
• AI tooling - Cursor, Claude

Canada: the pay range for this role is $160,000 to $220,000 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to