Job Id : 216
Jobtitle : Software Development Engineer
Location : New York City, NY
Company Name : ITC INFOTECH
Industry : Information Technology
Salary : $50,000 - $70,000 PER YEAR
Job type : Fulltime
Posted on: 2019-06-25
Required Skills : 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
Benefits : No benefits are available
BASIC QUALIFICATIONS · 3+ years of non-internship professional software development experience. · Programming experience with at least one modern language such as Java, C++, or C including object-oriented design. · 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems PREFERRED QUALIFICATIONS · 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 · Experience with No-SQL and RDBMS · Experience with HTML, XML and CSS · Distributed systems experience · Meets/exceeds Amazon’s leadership principles requirements for this role · Meets/exceeds Amazon’s functional/technical depth and complexity for this role Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation AWS is one of Amazon’s fastest growing businesses. More than a million active customers, from Airbnb to SAP, use AWS Cloud solutions to deliver flexibility, scalability, and reliability. As a Software Development Engineer at Amazon, your code is held to a high-standard and you are expected to stay up-to-date on the latest technologies. In this role, you will be building a set of tools from the ground up, joining a new team with high potential. We have a huge amount of data at our fingertips, but we require strong engineers working alongside machine learning experts to unlock its potential for advanced, automated customer interactions.
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