Backend Developer

March 19

iGenius

WebsiteLinkedInAll Job Openings

We transform business data into human superpowers. We’re hiring!

Augmented Analytics • Conversational Analytics • NLQ • Artificial Intelligence

51 - 200

Description

• With a growing team and operations in Milan, NYC, London and Switzerland (Lausanne), iGenius is a scaleup that thinks like an enterprise, where talented innovators can thrive and people come first. That’s not all. • Established in 2016 by Uljan Sharka, iGenius is an AI company on a mission to humanize and democratize business data with Crystal, our proprietary GPT for numbers platform. • Unlike traditional BI tools, Crystal takes a human-first approach that enables business users to have high value conversations with data, all in an easy to use intuitive platform. • By combining data science, machine learning and conversational AI, Crystal becomes a private AI brain for business data, providing organizations with instant, safe and relevant data insights leading to faster and better decision making and business growth. • With a strong global presence, iGenius operates in 4 countries with offices in New York, San José, Lausanne, London, and Milan, the company's headquarters. • The team counts +100 talented international professionals, highly skilled in AI, machine learning, data science, and software engineering.

Requirements

• At least 3 years of industry experience • Excellent knowledge of Node.js or Python • In-depth Docker knowledge • Experience with distributed systems design is a plus • GCP, PostgreSQL, K8s, Typescript knowledge is a plus • Knowledge of CI and CD concepts is a plus • Passionate about the digital world • Enthusiastic, curious and a talented problem solver • Excellent communicator with good relational skills • Able to work both alone and in a team • English speaker (we’re an international team)

Benefits

• Learning Friday. If our team members know more, so do we. That’s why we give everyone a training budget that they can spend on books, online courses or other training materials. • Smart Working. Trains can be a drag, you can save some commuting time by working from home. • Salary is based on experience, and topped up with other bonuses.