DESCRIPTION

Interested in Machine Learning? 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.

As the Software Development Manager, you will own the innovation in the space of ML Platforms, building compelling functionality for the Amazon SageMaker Service. You will be responsible for leading a team of engineers in design, development, test, and deployment of distributed systems and big data solutions. A successful candidate will have an established background in developing distributed systems, a strong technical ability, excellent project management skills, great communication skills, and a motivation to achieve results in a fast paced environment.

About the domain:
Amazon SageMaker offers the fastest and easiest methods for training large deep learning models and datasets. ML models continue to grow in size and complexity, with models supporting 1T parameters around the corner. As model performance continues improving with scale, we expect this trend to continue. In this role, you will lead a team of engineers to innovate on the SageMaker Training Platform to expand our leadership in ML training scale and cost-efficiency in the cloud.
Key Responsibilities:
· Management and execution against project plans and delivery commitments.
· Manage the day-to-day activities of the engineering team within an Agile/Scrum environment.
· Management of departmental resources, staffing, mentoring, and enhancing and maintaining a best-of-class engineering team.
· Work closely with the engineers to architect and develop the best technical design and approach.
· Customer engagement and product road map definition.
· Responsible for the over-all systems development life cycle
If you have an entrepreneurial spirit, know how to deliver results, are deeply technical, highly innovative, and long for the opportunity to build pioneering solutions to challenging problems, we want to talk to you.

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.

Work/Life Balance
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.

BASIC QUALIFICATIONS

· Bachelor's Degree in Computer Science or a related field
· Established skills in designing and developing solutions to complex problems in a distributed systems environment.
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· Strong technical credentials, with at least 4 years experience managing software development teams, ideally with some hands-on architectural or distributed systems experience.
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· Mmdern programming languages (C/C++, Java, JavaScript, Objective C) and open-source technologies (Apache, Hadoop, Spark)
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· A strong track record of project delivery for large, cross-functional, projects
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· A track record of communicating well with executives and non-technical leaders

PREFERRED QUALIFICATIONS

· Hands-on experience building large scale systems
· Machine learning knowledge and experience
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· Excellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences
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· MS or PhD Degree in Computer Science




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.