Amazon Web Services Software Dev. Manager, Sagemaker Console in Seattle, Washington
Amazon SageMaker Insights team is looking for experienced software development managers to lead a new initiative to build advances analytical and reporting capabilities. Our vision is to build the best in class customer analytics and insights system to enable improvement in the SageMaker user experience and to drive clear product enhancement decisions. If you love building solutions to empower data based decision making and have experience building large scale Analytical systems, then this is the perfect role for you. This is team will be an integral part in evolving the SageMaker customer experience and overall product evaluation. As a part of the SageMaker AI/ML organization, this team also provides and opportunity to learn more about the AI/ML solution space and to drive initiatives which will make SageMaker the preferred solution for our Customers.
As an engineering leader, you will own building the data logging, warehousing and analytical framework for all of SageMaker. You will be responsible for hiring and leading a team of strong engineers, Business intelligence engineers and data engineers. You will work with customers and other leaders to define our long-term strategies. A successful candidate will have an established background in developing distributed systems, data-warehousing and analytical systems and passion for driving adoption of data driven decision making and product design.
Amazon SageMaker is a fully managed Machine Learning platform that makes it easy to build ML models, manage them, and integrate them with custom applications for online predictions. SageMaker https://aws.amazon.com/sagemaker/) takes away the heavy-lifting normally associated with large-scale Machine Learning implementations, so that developers and scientists can focus on the truly creative work of modeling and solving the business problem at hand.
Key job responsibilities
• Responsible for the over-all Framework, Design and Implementation of Data Logging , Data Warehousing and Analytics and Reporting solution.
• Management and execution against project plans and delivery commitments; Manage the day-to-day activities of the engineering team within an Agile/Scrum environment
• Hire, develop and manage best-of-class engineering team, business intelligence engineers and data engineers.
• Work closely with the engineers to architect and develop the best technical design and approach.
• Report on status of development, quality, operations, and system performance to management.
• Partner with Product Management teams to drive better Customer engagement and product roadmap.
About the team
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
7+ years of experience working directly within engineering teams
Experience partnering with product OR program management teams
3+ years of people management experience, managing engineers
3+ years of experience architecting and designing (architecture, design patterns, reliability and scaling) of new and current systems
Experience with large scale distributed systems
· Experience building and operating end top end data warehousing and analytical systems.
· Experience with Machine Learning
· Experience building tools for Customer behavior analytics
· Experience in preparing quality metrics and effectively engaging with stakeholders to set and drive quality goals
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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