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. Independent retailers compete with big-box chains on price every day, and losing on landed cost is how they lose a customer for positive. Faire's Insider pod owns the membership program that keeps that from happening — free shipping, exclusive discounts, and benefits that make Faire the obvious place for our best retailers to keep buying.

As a Senior Engineer, you'll own the systems that make that promise real: free-shipping coverage, discount targeting, enrollment and activation, and the lifecycle logic that keeps reminding retailers why they joined. You're energized by experimentation — you'd rather ship a test and read the data than debate in a room Own core services in our Kotlin backend that power free-shipping coverage, discount delivery, and the Insider lifecycle Partner with Data Science, Product, and Design to prototype and ship improvements to the membership experience Make sure Insider value shows up everywhere it should:



cart, checkout, discovery, and after the order ships Mentor engineers and raise the bar on design reviews, performance, and architecture 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 passion for applying data and algorithms to real-world business problems. Bachelor’s degree in Computer Science/Engineering or equivalent industry experience. Kotlin, Java, Python MySQL, CockroachDB, Elasticsearch AWS 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.

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 work remotely up to 4 weeks per year.

Specific

Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.



You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly. We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.

Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.

Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success. Faire was founded in 2017 by a team of early product and engineering leads from Square. Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global.

To learn more about Faire and our customers, you can read more on our blog. Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities.

Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice ( #

📌 Senior Product Engineer - Insider - Backend or Fullstack (Kitchener)
🏢 Faire
📍 Kitchener