Senior Software Engineer, Faire

• Have 5+ years of backend software engineering experience
• Have strong experience designing and operating distributed systems at scale
• Have built or significantly contributed to experimentation platforms, or growth infrastructure
• Are fluent in backend technologies such as Kotlin, Java, or similar JVM-based systems
• Have deep experience designing APIs and working with relational databases (e.g., MySQL, CockroachDB)
• Understand event-driven architectures, data pipelines, and instrumentation best practices
• Care about system reliability, observability, and performance
• Think in terms of leverage, building systems that empower many teams rather than solving one-off problems
• Can translate ambiguous growth requirements into robust, scalable technical solutions
• Have strong product instincts and understand how platform decisions impact business outcomes
• Backend: Kotlin, Java, Guice, Jersey, Hibernate
• Datastores: MySQL, CockroachDB
• Infrastructure & Cloud: AWS (EC2, S3, RDS), Docker
• APIs & Data: HTTP, REST, JSON, Protocol Buffers
• Experimentation & Growth: Feature flagging systems, A/B testing frameworks, traffic ramping tools

Desirable

• At Faire we have a business unit focused on Retailer Growth that oversees core growth strategies from top of funnel, to onboarding, to helping Retailers get up and running to be successful on Faire
• As our Growth organization scales, the complexity of experimentation, segmentation, targeting, personalization, and lifecycle orchestration increases dramatically
• We are investing in platform capabilities that empower multiple product teams to move faster and run higher-quality experiments safely at scale
• We are looking for a Senior Growth Platform Engineer to design and build the foundational systems that power growth across Faire
• We are looking for someone who thinks in terms of reusable capabilities, scalable architecture, and long-term leverage
• This role focuses on backend systems that enable experimentation, targeting, incentives, lifecycle triggers, and growth automation across the retailer journey
• You'll architect and build scalable backend systems that power experimentation, segmentation, and targeting
• Design growth infrastructure that enables product teams to ship experiments safely and independently
• Build APIs and services that support personalization, incentives, lifecycle triggers, and growth workflows
• Partner with Data Science and Analytics to ensure accurate experiment assignment, event tracking, and metric integrity
• Improve experimentation velocity by reducing friction in tooling, deployment, and analysis
• Ensure systems are reliable, observable, secure, and capable of operating at marketplace scale
• Establish best practices for experimentation guardrails, traffic allocation, and statistical integrity
• Influence technical direction across the Growth organization through platform design and architectural leadership