About The Role The RealReal is looking for a highly experienced and self-motivated Senior Software Engineer (Full Stack) to join our Growth team. Working closely with Product partners and Engineering management, you will build technical solutions enhancing The RealReal's on-platform experiences, helping the business acquire and activate high value customers. You will also work closely with Marketing and other business stakeholders to help build seamless and engaging customer journeys that optimize our marketing effectiveness. Our awesome team of friendly humans is located in multiple time zones throughout North and South America. Our team values growth and personal development; The RealReal is a great place to develop your professional software and leadership skills. As a Senior Software Engineer you will be an active hands-on contributor as well as an influencer for our technical direction. You will be able to contribute to various initiatives as well as provide feedback through code reviews and pairing. We are especially excited about you if you are enthusiastic about working in the luxury retail/e-commerce space or if you are passionate about our mission of sustainability in creating a circular economy for high-end goods. This role reports to the Engineering Manager of Growth and will be fully remote. What You Get To Do Every Day Produce high-quality, performant, and testable code that directly contributes to company-wide initiatives Lead the product development process, from ideation to implementation to release. Rapidly prototype, run A/B tests, architect and build solutions that can scale to support millions of users Develop using interesting technologies - Elixir, Ruby, React, Typescript, GraphQL, Kafka, AWS/Lambda, PostgreSQL, DynamoDB Have input into design and architectural decisions that will shape the future of our software systems Mentor, actively participate in code reviews, and pair up with a team member to work together on features Act as a strong partner to product and engineering management What You Bring To The Role Minimum Requirements: 5+ years of web application development experience with a track record of successfully shipping consumer or business facing products Experience in writing reliable and maintainable code, reusable components and component libraries that may be used by many other engineers Experience with any of Elixir, Erlang, Ruby, Javascript, NextJs, or another programming language Passionate about testing practices and continuous improvement Familiarity with common programming tools such as IDEs, RESTful APIs, Git repositories, TypeScript, version control software, and remote deployment tools Familiarity with event based architectures, database fundamentals and GraphQL Strong cross-functional collaboration and communication skills Curiosity about retail/e-commerce, the high-end consignment market, and/or how to create a sustainable, circular economy for luxury goods Preferred Requirements: Experience with Javascript, HTML, CSS, and React Experience with GraphQL Experience building microservices Experience building eCommerce platforms Experience working with a CMS, especially Prismic Any experience with mobile development for iOS and/or Android Compensation, Benefits, + Perks This role is not eligible for benefits. The RealReal is the world's largest online marketplace for authenticated, resale luxury goods, with more than 30 million members. With a rigorous authentication process overseen by experts, The RealReal provides a safe and reliable platform for consumers to buy and sell their luxury items. We have hundreds of in-house gemologists, horologists and brand authenticators who inspect thousands of items each day. As a sustainable company, we give new life to pieces by thousands of brands across numerous categories—including women's and men's fashion, fine jewelry and watches, art and home—in support of the circular economy. We make selling effortless with free virtual appointments, in-home pickup, drop-off and direct shipping. We do all of the work for consignors, including authenticating, using AI and machine learning to determine optimal pricing, photographing and listing their items, as well as handling shipping and customer service. At our 13 retail locations, including our twelve shoppable stores, customers can sell, meet with our experts and receive free valuations.
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