Amazon

Sr. Software Dev Engineer, AWS SageMaker

3+ months agoSeattle, WA

DESCRIPTION

Interested in machine learning, and empowering the world to do more and better machine learning? Amazon SageMaker (https://aws.amazon.com/sagemaker/), Amazon Web Service's (AWS) fully managed Machine Learning (ML) platform team is building customer-facing services to catalyze data scientists and developers in their machine learning endeavors. SageMaker takes away the heavy-lifting normally associated with large-scale Machine Learning implementations, so that developers and scientists can focus on solving the business problem at hand.

You will work in a diverse team to build out the foundational technology for a next-generation ML workflow and CI/CD platform. Your work will enable customers to build and run entire ML pipelines on Amazon SageMaker in a fully-managed, highly scalable and highly available manner. You will design, implement, test, operate, and support cross-cutting services of this new product. With the goal of providing a world-class user experience, our product offers a blend of web APIs, UI/IDE, and open source libraries that make it easier to build machine learning on SageMaker.

We are looking for a senior software engineer who are excited about our mission to lead the new initiatives, provide technical leadership to the team, and work with customers and other leaders to define our long-term strategies.

At SageMaker, there are immense learning as well as growth opportunities. This is a great team to come to have a huge impact on AWS and the world's customers we serve!

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. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. 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

• 4+ years of professional software development experience
• 3+ years of programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
• 2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
• Bachelor's Degree in Computer Science or related field or equivalent work experience

PREFERRED QUALIFICATIONS

• Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs
• Experience building and operating mission critical, highly available (24x7) systems
• Experience with machine learning, data mining, and/or deep learning frameworks is a plus
Amazon is an Equal Opportunity-Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation. Diversity and inclusion are very important to us. We want the best builders of all backgrounds to work and stay at Amazon because they are drawn to our mission, our culture, and our leaders.

Job ID: Amazon-1179984