About this Role:

Faire’s Insider pod, part of the Value Pillar, owns Faire’s membership program — the way we partner with brands to deliver exclusive benefits to retailers so they know they’ll always get the lowest landed cost in wholesale. Through free shipping, exclusive discounts, and premium benefits, Insider makes Faire the obvious place for our most engaged retailers to start and grow their businesses.

As a Senior Engineer (L4), you’ll own the core services and systems that power the membership: free-shipping coverage, discount targeting and delivery, enrollment and activation funnels, and the membership lifecycle that reinforces value at every touchpoint. Your work directly shapes what benefits a retailer sees, when they see them, and how much value the program delivers.

What You’ll Do:

• Own critical services in our Kotlin-based backend that power our Insider membership program
• Collaborate cross-functionally with Data Science, Product, and Design to prototype, evaluate, and productionize improvements to the Insider user experience..
• Measure and iterate on program performance using experimentation and analytics,  growing active Insiders, GMV per Insider, and enrollment rate.
• Reinforce Insider value across cart, checkout, discovery, and post-order surfaces so members consistently see and use the savings they’re entitled to.
• Mentor engineers and contribute to team best practices in design reviews, performance tuning, and system architecture.

We’re Excited About You Because You Have:

• Experience: 5+ years in backend systems, with marketplace a nice to have 
• Technical Depth: Proficiency in Kotlin, Java, or similar object-oriented languages; comfort with distributed systems, service design, and performance optimization.
• Data Fluency: Experience integrating with ML-driven decision systems, experimentation frameworks, or real-time data pipelines
• Collaboration: Strong communication skills and a track record of partnering with cross-functional stakeholders, from DS to PM, to deliver complex systems.
• Mindset: Curiosity and a drive to understand complex market dynamics; passion for applying data and algorithms to real-world business problems.
• Education: Bachelor’s degree in Computer Science/Engineering or equivalent industry experience.

Technologies We Use and Teach:

• Kotlin, Java, Python
• JUnit, Hibernate, Guice, Jersey
• HTTP, JSON, Protocol Buffers
• MySQL, CockroachDB, Elasticsearch
• AWS

Salary range:

Canada: the pay range for this role is $156,000 - $214,500 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.