Software Development Engineer II, NASC Tech
Amazon.com
Sort centers are a fundamental entity of amazon's transportation network and are experiencing explosive growth. We are looking for a motivated, experienced, Software Development Engineer with outstanding leadership skills, proven ability to develop full stack applications focused on helping our customers drive towards 100% availability of their applications and workloads. Our team works across the full stack - from scalable back-end services, distributed data processing systems to intuitive UX. Our team works with Data engineering, Data science teams to drive innovation and results. If you are looking for an opportunity to join a rapidly expanding organization and help build it from ground up using Native AWS Services - then this is an opportunity for you.
Key job responsibilities
The position will be assigned to the NA Sort Center Ops Planning network and will work closely with Performance, Engineering Labor Planning, Capacity and Planning, Performance, Forecasting and the Sort Tech team to design and develop standardized Shift planning, Volume visibility, Flow management and Risk management for the Sort Center Operations network.
In terms of qualification, the candidate must have demonstrated the ability to manage medium to large scale projects within the AWS environment that scale to an entire region or globally where partnerships needed to be developed with multiple teams to be able to access and understand data.
On our team you will build with a strong focus on customers everywhere, bringing your talent for software development at scale and passion for teamwork to bear. You will have the autonomy and independence to own substantial parts of the problem, with significant opportunity to define your own direction and plans.
If you are passionate about building high impact software with new technologies and are eager to take on and solve challenging problems while delivering an amazing customer experience, then our team is the perfect fit for you.
About the team
Our team owns full stack software - from scalable back-end services, to distributed data processing systems and intuitive UX. Our team also works with Data engineering to build data ingestion pipelines and Data science teams for Data Science model hosting. If you are looking for an opportunity to join a rapidly expanding organization and help build it from ground up, then this is an opportunity for you.
Key job responsibilities
The position will be assigned to the NA Sort Center Ops Planning network and will work closely with Performance, Engineering Labor Planning, Capacity and Planning, Performance, Forecasting and the Sort Tech team to design and develop standardized Shift planning, Volume visibility, Flow management and Risk management for the Sort Center Operations network.
In terms of qualification, the candidate must have demonstrated the ability to manage medium to large scale projects within the AWS environment that scale to an entire region or globally where partnerships needed to be developed with multiple teams to be able to access and understand data.
On our team you will build with a strong focus on customers everywhere, bringing your talent for software development at scale and passion for teamwork to bear. You will have the autonomy and independence to own substantial parts of the problem, with significant opportunity to define your own direction and plans.
If you are passionate about building high impact software with new technologies and are eager to take on and solve challenging problems while delivering an amazing customer experience, then our team is the perfect fit for you.
About the team
Our team owns full stack software - from scalable back-end services, to distributed data processing systems and intuitive UX. Our team also works with Data engineering to build data ingestion pipelines and Data science teams for Data Science model hosting. If you are looking for an opportunity to join a rapidly expanding organization and help build it from ground up, then this is an opportunity for you.
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