• Sr. Software Development Engineer, Taxonomy Performance

    Location US-WA-Seattle
    Posted Date 1 year ago(5/10/2017 7:21 PM)
    Job ID
    Amazon.com Services, Inc.
    Position Category
    Software Development
    Recruiting Team
    North American Teams - Consumer - Retail Plus
  • Job Description

    Do you have a passion for large scale data processing and building predictive models? Are you interested in scalable solutions for Big Data analytics? The Amazon Browse Classification and Discovery team is seeking a Sr. Software Engineer for building a set of services responsible for data processing, mining Taxonomy Insights and build ML models that will measure the customer impact of the Amazon Taxonomy. You will lead technically a team of experienced developers, work closely with Taxonomists and Applied Scientists to deliver models into the Amazon production ecosystem and interact with different organizations. Your efforts will build a robust ensemble of techniques that can measure, predict performance and influence investments in Classification and Taxonomy across marketplaces and languages.

    We are seeking an outstanding Senior Software Engineer to help build and support a cutting edge business platform, analytics and predictive models programs. Our primary users, an international team of taxonomists and developers, are responsible for customer-facing product navigation on global Amazon retail websites. The work influences day-to-day decision making for business priorities at Amazon and helps to proactively improve the customer experience through providing data targeted at product discoverability and shopping advancements.

    Amazon has a culture of data-driven decision-making, and demands business intelligence that is timely, accurate, actionable, and scalable. As a Senior Software Development Engineer, you will work with Applied Scientists and Analysts to explore innovative data opportunities. You will build and design production systems providing metrics and tooling integration, to address some of the unique challenges related to online product discovery. You will lead the design and implementation of significant technical projects and work with product/ program managers, internal customers, and other Engineering teams to influence the technical strategy of the organization.

    Basic Qualifications

    We are looking for a Senior Software Engineer who has a passion for supplying business users with actionable data. You have a strong interest in working with Amazon Web Services technologies to support scaling (S3, Elastic Map Reduce, and Redshift). You are excited about system design, analytics, machine learning, and use your technical skills to creatively solve problems. You are an active and strong advocate for your customers. You are passionate about learning and keeping up with the evolution of Amazon’s and industry tools and systems. You should also have the following skills or experiences:
    • Bachelor’s Degree in Computer Science or related discipline
    • 5+ years of professional experience in software development
    • Proficiency in object-oriented design, and at least one modern programming language such as Java, C# or Python
    • Experience working with scalable distributed enterprise-level systems and knowledgeable in Big Data platforms
    • History of delivering high quality production systems/services
    • Leader in building complex software systems that directly benefit customers
    • Ability to communicate effectively with users, technical teams, and management

    Preferred Qualifications

    • Master's Degree in Computer Science or related discipline
    • Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
    • Exposure to column-oriented databases such as Amazon Redshift and NoSQL databases such as Amazon DynamoDB
    • Experience with big data tools like Hadoop, Spark, EMR (Amazon Elastic Map Reduce)
    • Knowledge in Machine Learning, natural language processing, data mining, or information extraction
    • Experience in designing, building and troubleshooting complex systems
    • Experience with mentoring/leading other engineers and influencing best practices within your team
    Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
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