ADCI
Operations, IT, Support Engineering, seller services
ApplicationEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Application Engineer at ADCI. Skills: Application engineering, System maintenance, Business support. Solve business support needs. Collect requirements”
What You'll Achieve.
Improve free cash flow; Improve customer experience; Improve product quality; Improve support system quality
Industry & Context.
Problem solving; Root cause analysis; Troubleshooting; Digging into complex issues
On-call support
What They're Looking For.
Must Have
2+ years software development, 2+ years technical support, Troubleshoot and debug technical systems, Experience in Unix, Scripting in modern program languages
Nice to Have
Knowledge of web services, Knowledge of distributed systems, Knowledge of web application development, Troubleshoot & maintain hardware & software RAID, Experience with REST web services, Experience with XML, Experience with JSON
What You'll Do.
Solve business support needs
Develop scalable solutions
Translate business requirements
Build scalable systems
Maintain services healthy
Maintain services robust
Maintain multiple products
Maintain multiple services
Create process automation scripts
Handle ad-hoc operational asks
Improve operational efficiency
Develop documentation
Work on alarm monitoring issues
Work on application infrastructure issues
Work on bug fix issues
Familiarize clients with platform features
How You'll Work.
Team & Collaboration
Collaboration with technical teams; Work closely with engineers
Full Job Description
Retail Business Services (RBS) supports Amazon’s Retail business growth WW through three core tasks. These are (a) Selection, where RBS sources, creates and enrich ASINs to drive GMS growth; (b) Defect Elimination: where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow and (c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills. Our solutions ensure that information in Amazon's catalog is complete, correct and, comprehensive enough to give Amazon customers a great shopping experience every time. That's where you can help. We believe in “Work Hard. Have Fun. Make History” value by having a strong focus on sharing learning experiences from the front line with the development teams. So, the options for people in the team are vast. If you like mastering a domain and going deep, we need you. If you can juggle three tasks and coordinate with multiple people in the heat of an incident, we need you. If you love the benefits of process and methodical improvement, you will love it here. If you want to keep your head down, headphones on, and bash out code to support the team, we have a spot for you too. We challenge one another every day and hold ourselves accountable for our work product as well as our customer's overall success. We all enjoy the interactions with the customers, problem solving, digging into complex issues. We wake up every morning asking ourselves how we can improve the customer's experience, the quality of our product, the quality of our support system, or our individual weaknesses. We are not scared of challenges, nor do we back down or get deterred by problems. When problems seem the hardest we are at our best, we work harder to find the root cause and a solution. Key job responsibilities We are lo
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