Skyline AI was acquired by JLL (NYSE: JLL), a leading professional services and investment management firm specializing in real estate. We are now part of a Fortune 500 company, with operations in over 80 countries, a workforce of nearly 100,000 individuals around the world, and annual revenue of almost $20B. Within JLL, we are part of JLL Technologies, a rapidly growing, strategic business group whose mission is to leverage technology to increase the value and liquidity of the world’s buildings.

The Skyline AI team has been embedded as-is within JLL, to continue our mission of transforming commercial real estate with data science. We are developing a platform that collects data from hundreds of different sources and uses machine learning to extract insights for making fast and optimal business decisions. We have assembled an excellent team of leading data engineers, software developers, designers, product managers, and data scientists working towards this goal.

Our offices are in Tel-Aviv and we employ a hybrid work from home model.

On a typical day, you will:

· Work on a data-driven real estate web application

· Spearhead the creation and delivery of end-to-end features with an emphasis on crafting compelling front-end experiences for a real-estate web application

· Work closely with our talented design team to take a leading role in the platform UI/UX development

· Work as an integral member of a diverse and fun team

· Lead and collaborate on global projects coordinating with engineers in Bristol and Tel Aviv along with colleagues in Toronto, New York and beyond

- 4+ years of experience as a full-stack engineer

· Strong communication skills

· A strong level of English

· Good familiarity with JavaScript, CSS, and Python

· Proven experience working with cloud infra for web applications

· Experience with a front-end framework, preferably Vue.js

· Experience with CSS preprocessing, preferably SASS

· Experience with the Azure cloud – Advantage

· Experience with Django and ORM concepts - Advantage

· Experience with containerization and Kubernetes - Advantage

· Ability to blend seriousness with fun in a work environment that values passion and commitment