ADCI HYD 13 SEZ
Technology
SoftwareDevelopmentEngineerII
Neural analysis suggests this role is
optimal for Mid candidates.
“Software Development Engineer II at ADCI HYD 13 SEZ. Skills: Software development, Capacity planning, Machine learning. Deliver working features. Work backwards from customers”
What You'll Achieve.
Deliver timely support; Optimize CS network; Automated system; Generate optimal plans; Adapt to fluctuations; Maintain service-level goals; Monitor network performance; Identify supply-demand gaps; Ensure efficient utilization
Industry & Context.
Problem solver; Root cause analysis
Export control laws, Export licenses
What They're Looking For.
Must Have
3+ years professional software development experience, 2+ years system design or architecture experience, Experience programming with at least one language
Nice to Have
3+ years full software development life cycle experience, Bachelor's degree in computer science or equivalent
What You'll Do.
Deliver working features
Work backwards from customers
Make priority tradeoffs
Engage with stakeholders
Understand business value
How You'll Work.
Team & Collaboration
Stakeholders; Peers
Full Job Description
Are you interested in taking a front-seat in the innovative technology that powers Amazon’s award-winning Customer Service? If so, come join us! We are part of the Worldwide Customer Service Capacity Planning (WWCP) organization that enables end-to-end customer service workforce planning across Amazon. WWCP’s North Star vision is to define and deliver timely human-assisted support to Amazon customers under contact demand and Labor supply volatility and optimizing the Customer Service (CS) network for customer experience, associate experience, and cost. To turn this vision into reality, we are investing heavily on a digital transformative journey developing a product that will make capacity planning hands-off-the-wheel experience leveraging scientific methodologies and optimization techniques. Our ultimate objective is to establish a comprehensive, fully automated system capable of generating optimal plans on a massive scale. It will adapt seamlessly to fluctuations in supply and demand while maintaining our service-level (SL) goals. In addition to planning, this product will continuously monitor and manage real-time network performance, swiftly identifying emerging supply-demand gaps and ensuring the efficient utilization of flexible capacity through real-time network rebalancing Why would you want to join our team? If you are passionate about solving hard technical problems in the Optimization of Capacity Planning via Machine Learning and want your work to make an immediate impact in the real world, this is the place for you. We solve problems on par with leading academic research for the benefit of customers who celebrate our feature launches on social media, constantly demand new features, and - through adoption - force us to invent new ways to scale our systems. If going deep to optimize for scale, latency, and resource usage excites you as much as working backwards from the customer to develop features that not only work, but delight, then join us in making our
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