Offers “Amazon”

Expires soon Amazon

Front End Engineer

  • Internship
  • Amsterdam (City of Amsterdam)
  • Teaching

Job description

DESCRIPTION

Want to disrupt an industry by delighting customers? Looking for a job where your work can have direct and massive impact? Excited to join one of the newest and most exciting services? Come be a leader on a team that is building a product that will touch millions of people daily.
Amazon Connect is a highly disruptive cloud-based contact center that enables businesses to deliver engaging, dynamic, and personal customer service experiences.

Amazon Connect is the result of the ten years of development that went into building the tools Amazon uses to provide its award winning customer service at massive and launching it as a publicly available service. With Amazon Connect, you can create your own cloud-based contact center and be taking calls in minutes. Amazon Connect leverages the power of Artificial Intelligence and the large ecosystem of services such as Amazon Lex, Amazon Polly, Lambda, Amazon S3 and Amazon Kinesis to provide a truly frustration free, easy-to-use, extensible, and natural customer experience. With this technology, we are transforming an industry and the way customers interact with businesses and how agents service them.

We have a rapidly growing customer base and an exciting charter in front of us that includes solving highly complex engineering and algorithmic problems. We are looking for passionate, talented, and experienced Front-end Engineers to join us to innovate on this new service that addresses customer needs to build modern contact centers in the cloud. The position represents a rare opportunity to be a part of a fast-growing business soon after launch, and help shape the technology and product as we grow. You will be playing a crucial role in developing the next generation contact center, and get the opportunity to build and deliver scalable, resilient systems while maintaining a constant customer focus.

Industry analysts have said, “Amazon Connect is quietly positioned to massively disrupt by enabling companies to focus on customer service, not service centers.” and “Amazon is totally disrupting the customer contact center space as they have many other market-spaces with customer-centric solutions with open platform integration with assistance from the partner community.”

As a Front-End SDE on our team, you’ll own code end-to-end from to development, and work closely with other senior technical leaders within the team and across Amazon Connect. You’ll have a sound understanding of computer science fundamentals and practical industry experience, working across the stack with technology involving modern web, SOA, databases, AI, ML, Big Data and more.

PREFERRED QUALIFICATIONS

· Bachelor’s Degree in Computer Science or related field.
· 5+ years experience building successful production software systems.
· Computer Science fundamentals in object-oriented, data structures, algorithm and analysis.
· Track record delivering correct, stable, performant, and secure front-end software
· Strong knowledge of front-end frameworks like React, Angular, VueJS, and/or Backbone
· Familiarity with object-oriented and RESTful web services
· Proficiency in front end technologies such as Javascript, HTML, CSS, etc.
· Experience using transpilers and build tools
· Experience instrumenting applications with real user metrics to reflect the customer experience
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Desired profile

BASIC QUALIFICATIONS

· 2+ years of non-internship professional software development experience
· 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.

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