Release Engineer, Real Estate Solutions
CLIENT
The client is the world's largest real estate consultancy, a Fortune 500 company located in New York with a development team based in Texas.
Запрошуємо в компанію, а не у проект

ABOUT THE PROJECT
We are assembling a team of 25+ people to work on a new project that aims to help their clients flexibly manage their real estate assets in these post-COVID times. This platform will help the administration and management who rent out workplaces to manage their processes and to have access to information. At the same time, it will give their clients the ability to book workplaces for themselves.
Створюємо середовище, вільне від обмежень
Даємо зосередитись на роботі
КОМАНДА
The teams include DataArt engineers and stakeholders from the client side who will work in a mature Scaled Agile Framework.
Допомагаємо розвиватись у професії

TEAM
With this project, you will work with a brand-new stack, no legacy code to worry about; develop your English skills through communications with the US client.

STACK OF TECHNOLOGIES
The backend is to be implemented using Java Spring Boot, React will be used for the frontend, and cloud solution from Azure.

Responsibilities
Lead operating reviews with service providers inclusive of continuous improvement
Be a point of contact for major service issue escalation and crisis management response
Lead and influence strategic business investments in applications and infrastructure that build additional business capability or enable more efficient technology operations
Manage release processes and cycle

Must have
2+ years of experience in release engineering, system administration and/or configuration management
Strong exposure with IT Service Management as well as Development-related Delivery Experience
Experience working in an Agile SDLC with DevOps
Knowledge in Business applications and System Analysis
Profound Understanding of Technology, Tools and Tech Stacks- , Java Springboot, React, DB Management, mobile technologies (iOS/Android), Cloud ,(Azure)
Spoken English
DataArt