Staff Platform Software Engineer

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 Engineering Platform group enables product engineering teams to build and operate software with unmatched speed and quality. The Code Authoring team owns the developer environment at Faire: the AI coding tools engineers use every day, remote development environments, and the sandboxes our end-to-end tests run in. We care about developer experience, the quality of code written by people and agents, the reliability of the tools engineers depend on, and the cost of running those tools. AI code authoring harnesses Remote development environments Sandboxes for end-to-end testing and agent runs Developer cloud infrastructure cost across AWS and OCI The team also evaluates AI coding tools and owns our relationships with those vendors. An experienced technical leader with substantial backend architecture and developer tooling experience to work alongside our team, develop and deliver on a technical roadmap for how code gets written and shipped at Faire, and engage with engineering teams organization-wide. Own the architecture of the systems that run coding agents against our codebase: the service that turns tickets into pull requests, the sandboxes and remote development environments it runs in, and the integrations with Linear, GitHub, Claude, and Cursor. You decide how these pieces fit together and hold the long-term design. Own the developer workflow end to end: how an engineer or an agent gets from a ticket to a merged, tested change. Run these systems as production infrastructure, with clear ownership, monitoring, uptime targets, and accountability when they fail. Set the standard for how teams build: design reviews, testing, operational readiness, and the quality bar for code written by people and by agents. Extensive experience designing, building, and running distributed backend systems in production, including finding and permanently fixing problems at scale. Experience owning the design of developer tools, CI/CD systems, or internal platforms that other engineering teams build on and hundreds of engineers use, and making design decisions that span several teams Hands-on experience building on large language models and coding agents: running agents, giving them tools, checking their output, and tracking what they do and what they cost. You use AI coding tools every day. Experience running services with uptime targets: defining SLAs, building monitoring and alerting, and owning incidents for systems other developers depend on. Good judgment on performance and cost tradeoffs, with a record of making a system cheaper to run without making it worse. A record of mentoring engineers and raising the level of the teams you have worked on, both on your immediate team and across the organization. A bachelor's degree in Computer Science/Software Engineering or equivalent industry experience. An advanced understanding of Kotlin; working knowledge of Python. Kotlin, Java, JUnit, Hibernate, Guice, Jersey, MySQL, CockroachDB, AWS Frontend: React, TypeScript/JavaScript Infrastructure & Data: Python, JSON, Protocol Buffers, experimentation frameworks, analytics tooling 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