Job Description

About Arloid Arloid Automation is an innovative start-up in fast growing and exciting AI space. Our product, arloid.ai, is based on Deep Reinforcement Learning and helps the real estate industry reduce carbon footprint and utility bills through automated intelligent and precise management of HVAC systems. Our technology has a proven potential to save up to 30% of energy consumption and CO2 emissions for the companies we work with. With over $1.5T annual global spent on HVAC in industrial and commercial real estate sectors alone, and we estimate the global SAM (Serviceable Available Market) to be worth $156B p.a. We operate as a B2B SaaS company. Our target customers are real estate companies, hotel groups, logistics companies and so on worldwide. Our technology is deployed in a broad range of use cases, such as office buildings, shopping malls, hotels, hospitals, warehouses, and industrial and residential estate. We are currently working with 59,201,507 sq. ft. of real estate across the Middle East, South East Asia, China and Europe. We are a diverse team located in London (HQ), Singapore and Dubai. We have a lively, honest and open culture based on mutual respect. We are collectively motivated by the unlimited potential of our company to contribute to more sustainable use of energy. We deliver unparalleled service to our customers while helping them to save money on utility bills. We work hard and play hard. We support and constructively challenge each other to win as a team. For more info, visit www.arloid.com Location Office 2301, 23rd Floor, Al Ameri Tower, Barsha Heights, TECOM, Dubai Reporting to: The company's Chief Technology Officer. Qualifications and Experience Bachelor's Degree in a Computer Science or related field 2-3 years of relevant working experience Docker Docker Compose AWS/Azure K8s Nginx CI/CD Would be a plus experience with: Indexing and Replication ELK Mongo Redis ELT Setup and supporting the SQL environment DB backup and sync (master-slave) Monitoring and optimization of storage and data processing resources DWH (data warehouse) construction Job Types: Full-time, Permanent Experience:

• DevOps: 3 years (Required)