Senior Software Development Engineer, EC2 Health Analytics - AWS

Description

Amazon Web Services (AWS) is the world leader in providing a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in hundreds of countries around the world.

Come join a brand new team, EC2 Health Analytics, under EC2 Foundational Tech., to solve complex cutting-edge problems to power a faster, more robust and performant EC2 of tomorrow. The charter of our team is to improve customer experience on the EC2 fleet by analyzing hundreds of signals and driving next-generation detection and remediation tools across the cloud using Machine Learning and Data Analytics.

As a Senior Software Development Engineer in the EC2 Health Analytics team, you will become part of an industry-leading engineering team solving challenging problems at massive scale.

We are busy building our team from scratch (no legacy systems to own) and have multiple positions available.

Responsibilities

  • Design, implement and deploy mission-critical systems that work at the scale of the EC2 fleet
  • Develop algorithms that analyze failures across different dimensions in EC2
  • Develop systems that improve the customer experience on EC2
  • Ensure the smooth and stable operation of the team's new services

Basic Qualifications

  • Bachelor's degree in Computer Science, Engineering or equivalent
  • Equivalent experience to a Bachelor's degree based on 3 years of work experience for every 1 year of education
  • 5+ years of industry experience in a software development environment
  • Knowledge of, at least, one modern programming language such as C, C++, C#, Java, or Perl
  • Strong fundamentals in data structures and object-oriented design
  • Comfortable in a fast-paced, start-up like development environment
  • Passion for building and operating highly-available services

Preferred Qualifications

  • 5+ years of industry experience in software development.
  • Masters or PhD in Computer Science or equivalent
  • Experience in large scale software systems
  • Data Science skills in machine learning or statistical analysis is a plus
  • Strong analytical skills with excellent problem solving abilities
  • Knowledge of system performance methodologies along with hands on empirical monitoring
  • Strong desire to build, sense of ownership, urgency, and drive
  • Excellent written communication and verbal agility are strong assets
  • Demonstrated ability to achieve stretch goals in a highly innovative and fast paced environment
  • Expertise in delivering high-quality, innovative applications

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