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Chief Architect (Technology)

at Qbeeko in India   —   Jul 17, 2014   |  
Overview
Qbeeko is a stealth mode startup based out of Mumbai, India, working on building a framework that will enable commercial mobile and web application developers embed end-to-end customer experience in their applications.
Responsibilities
You will be instrumental in bridging the gap between businesses and billions of consumers by spearheading the development of an efficient, robust and scalable server side application and engineering our REST and SOAP based Web services. You will top that by implementing a winning UI/UX platform. The technology you build will carry your gene as the dominant gene. You will be instrumental in shaping the culture of the company and will function as one of its primary evangelists.
At the end of one year:
You will hold a patent
You will have mastered a host of open source technologies
You will see your friends and family using the technology you create
You will kick ass at foosball
You will be able to chug a can of Beer or Red Bull in a second
You will have learned to play a musical instrument and will be the king of improvisation
Skills
You are an experienced developer with a solid foundation in computer science. You possess a good breadth of algorithmic and data structures knowledge. You are research oriented and are able to grasp concepts and languages quickly. You are a team player who is driven by passion for learning and making a difference.
You also have:
A degree in Computer Science, Engineering or other related fields
Over one year of work experience
Expertise in data structures, databases and algorithms
Extensive knowledge of Java, C++, C or Python
Strong knowledge of web applications, distributed systems and network systems
Expertise in Unix/Linux administration
Strong analytical and communication skills
You will get brownie points if you have:
Experience with HTML, CSS, JavaScript and Node.js
Knowledge of mobile application development in Android and iOS
Experience in Enterprise Application Integration
Machine learning and Data mining skills
Knowledge of Music theory
Education
A degree in Computer Science, Engineering or other related fields
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