Description de l'offre
Are you interested in building green field cloud service for AWS. Do you want to have direct and immediate impact on millions of customers who use AWS every day? We are building the Supply Chain Management (SCM) systems that power the AWS cloud. If you are a self starter, like ambiguous problems, designing large scale distributed and orchestration systems, look no further. The “Directed work” team in AWS supply chain is setting up new teams based both out of Bellevue and Seattle .
The Directed Work team is responsible for building the systems that automate and orchestrate the physical work processes that occur inside all of AWS' global datacenters. Our talented team of datacenter engineers depend on our systems to perform their work safely, securely, efficiently, and free of defects, resultant in finished products being ready for AWS customer-facing utilization. Our team is responsible for billions of dollars in capital and the ultimate success of our core cloud infrastructure business.
We are looking for SDEs who are excited about building industry leading, next generation SCM and Workforce Management systems for the AWS cloud on the AWS cloud. In this role you will be responsible for the architecture, design and implementation of highly scalable distributed systems that provide availability, scalability and latency guarantees. This is a highly visible program across multiple organizations where you will have the opportunity to have a huge impact.
The right candidate will possess a strong technical skills, will have demonstrated experience leading/contributing to medium to large cloud services, and will want to have a lasting impact in the data center operations space. You must be able to thrive and succeed in an entrepreneurial environment, and not be hindered by ambiguity or competing priorities.
You must be able to communicate up, down, and out to technical and business leaders. You must be able to successfully collaborate for system design and build the cloud service based on the vision, anticipate bottlenecks, balance the business needs versus technical constraints. You must be able to understand the architecture patterns like micro services, help building them then deliver them in a successful and timely manner. You show be a self starter, show maturity, high judgment, analytical talent and leadership are essential to success in this role. This is a unique and rare opportunity to get in on the ground floor and help shape our ERP and SCM technologies, products and business. A successful candidate will bring broad technical and deep software expertise and an ability to technically lead a team in a fast moving, startup environment in a large company to own and operate systems with a immense business impact.
QUALIFICATIONS DE BASE
· BS in Computer Science and 4+ years of experience
· Proven track record of leading delivery of large scale, distributed, high quality systems
· Deep hands-on technical expertise in: large scale Unix systems engineering, building and operating complex distributed systems
· Experience in an object oriented language such as Java, C#, or C++
· Understanding of web services technologies such as SOAP, HTTP, WSDL, XSD, and REST
· Strong understanding of system and application performance characteristics
· MS or PhD in computer science or related technical field
· 2+ years of relevant, broad engineering experience
· Experience with workflow products: SWF, Step Functions, Luigi, Airflow.
· Experience in Software As A Service
· Technical expertise in at least one major technical area of distributed systems, such as scale-out or fault-tolerance
· Experience leading development life cycle process and best practices
· Experience mentoring/training the engineering community on complex technical issues.
· 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.