M.Gemi, headquartered in Boston, MA along with offices in SoHo, New York and Florence, Italy is redefining the luxury products industry by leveraging the uniqueness of Italian manufacturing combined with a technology and data driven predictive supply chain engine. By challenging the long standing design and manufacturing process, we are delivering new products to market in record time and selling direct to the consumer through a state of the art digital platform as well as physical showrooms. As the only brand in the world that delivers new collections of luxury shoes every week, we have created a loyal and rapidly growing customer base, since our launch in March 2015.

Backed by top-tier venture capital firms, including General Catalyst, Forerunner, Accel, and Burda Principal Investments, M.Gemi is a fast growing direct to consumer start-up with a passion for using technology to reinvent and accelerate the business.

We leverage best-of-breed internal and external technologies, coupled with data science and analytics - of which the result is a disruptive business model that creates an exceptional omni-channel customer experience and a revolutionary data-driven, supply chain operation.

Our team of data scientists, engineers, product managers, analysts, supply chain experts, multi-generational Italian shoemakers, and passionate creatives are reinventing online consumer shopping experiences, supply chain, experiential retail and accessible luxury.

The Role

As a Back End Engineer, you will be instrumental in our growth, helping to define, build and manage our highly personalized, data driven customer experience and smart shoe design systems, supporting our unique weekly shoe releases.

Responsibilites

• Work closely with our product, data science, and engineering teams to define and power new ways of demand planning, supply chain management and consumer personalization
• Build, manage and support high-volume, real-time data platforms
• Architect and plan for the future of data integration between systems
• Collaborate with business stakeholders to solve the challenges related to a high-paced data driven business model
• Support platform operations for data systems, integration systems and data science modeling
• Work on iterative, fast-paced customer-facing feature development on a variety technology stacks

Requirements

• BS+ (or equivalent) in Computer Science or related field
• 4+ years professional software development experience
• Experience with data, databases, data migrations and data pipelines
• Results orientated, curious, attention to detail, and a strong collaborator
• Both strategic and tactically-oriented
• Comfortable with a high level of autonomy and a self-starter
• Advanced experience in strongly-typed languages and dynamically-typed language

Our stack includes these technologies: Scala/Java (Lagom Framework), Node.js, Kafka, ElasticSearch, CassandraDB, PostgreSQL, Kubernetes, GraphQL, React, Angular