System Development Engineer, Amazon

• This role requires an individual with excellent System/Tool coding abilities along with AWS services understanding
• The successful candidate will be a self-starter, comfortable with ambiguity, have strong attention to detail, and will be comfortable accessing and working with data from multiple sources
• The candidate should also have strong communication skills, enabling them to work with Engineering team to understand requirements and shape analytical deliverables
• Candidate should also have a demonstrated ability to think strategically and analytically about business, product, and technical challenges, with the ability to work cross-organizationally
• A keen sense of ownership and drive is must
• An ideal engineer is one who enjoys discovering and solving ambiguous problems, can quickly learn complex systems, and enjoys building actionable insights from data
• To meet these challenges we are looking for passionate, talented and super-smart System Development Engineers
• We are looking of people who innovate, love coding & solving hard problems and never take no for an answer. Our engineers are top-notch engineers, who work hard, have fun and make history
• Bachelor's or Master degree in Engineering or related field
• Knowledge and experience in at least one modern programming language such as C, C++, Java, or Perl
• Experience building tools for automation (building, testing, releasing or monitoring)
• 1+ years of DevOps or SysOps in a large-scale software development environment experience
• Strong debugging/troubleshooting skills

Desirable

• Amazon Selection and Catalog Systems (ASCS) builds the systems that host and run the world’s largest e-Commerce products catalog
• We power the online buying experience for customers worldwide so they can find, discover, and buy anything they want
• Our massively scaled out distributed systems process hundreds of millions of updates on the billions of products across physical, digital, and services offerings
• To achieve this, we develop the algorithms and build the systems and tools to ensure the safety of the selection and maximize their impact on the Amazon top-line, all the while continuously growing the overall selection
• We develop and apply technologies spanning parallel processing, storage, Machine Learning, Natural Language Processing, and Image Recognition
• You will be part of Services Support Team under Catalog Support and Programs (CSP) in ASCS Org
• The mission of the Catalog Support and Programs (CSP) team is to provide a single point of contact for item-related problems and issues related to all retail and merchant catalog
• As a member of ASCS team, you’ll play a key role in driving Amazon’s business
• You will be responsible for providing Service Level issue support to all ASCS Engineering teams who built tier 1-3 systems and keep their software packages/configurations free from vulnerability, setup and monitor new metrics and alarms for their systems and drive root cause resolutions to the recurrent issues
• You will build tools to improve operational efficiency
• The role will work with a diverse set of data and cross-functional teams as well as use data to drive process improvement
• You handle all incoming system and service tickets with responsibilities covering multiple products, features and services
• Software deployment support in staging and production environments
• Given a defined problem, you deliver a solution which is logical, maintainable, that uses appropriate technologies, and is delivered on time
• You learn current engineering best practices and get their designs, code & procedures reviewed, and incorporate feedback
• You identify and scope problems and opportunities arising from technical discussions, calculate costs of proposed solutions, and make technical trade-offs
• You contribute to operational excellence and perform troubleshooting to resolve defects
• Drive Company Wide Campaigns and keep the Compliance risks (SAS, Shepherd etc.) for ASCS systems under control
• Handle JDK Migrations for ASCS teams