Software Development Engineer, User Insights Services

Software Development Engineer, User Insights Services

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DESCRIPTION

Job summary
Are you interested in building a world-class analytics, personalization, and user insights platform? Do you want to revolutionize the way people manage and derive insights from vast volume of data in the cloud? Do you want to have direct impact on a large number of AWS users? Are you interested to build scalable services and data pipelines and exploit data science and machine learning techniques to enable data-driven decisions?

The AWS User Insights Services team is looking for Software Development Engineers to join a fast growing team. If you are passionate about combining open source technologies, AWS services, big data and ML to help drive the future of AWS customer experience, we'd love to hear from you!

AWS has the most services and more features within those services, than any other cloud provider-from infrastructure technologies like compute, storage, and databases-to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things. Whether its Identity features such as access management and sign on, cryptography, console, builder & developer tools, and even projects like automating all of our contractual billing systems, AWS Platform is always innovating with the customer in mind. The AWS Platform team sustains over 750 million transactions per second.

Key job responsibilities

• Work with your manager and team to create milestones and deliverables
• Participate in daily scrums and reviews with development teams
• Develop design documentation and lead reviews with other engineers
• Write code and unit tests and integrate code with other software components
• Prototype and test concepts or features. Work with Applied Scientists to train and deploy AI Machine Learning Models
• Work on AWS services and Amazon engineering tools, processes and technologies
• Work in an agile environment to deliver high-quality software.

A day in the life

• Implement features that add insights into the customer feedback data.
• Data Analysis of the Voice of the Customers data through Machine Learning Models.
• You will be working with Research Scientists and Applied Scientists

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 16 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 professional and enable them to take on more complex tasks in the future.

BASIC QUALIFICATIONS

• 1+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems.
• 2+ years of non-internship professional software development experience
• Programming experience with at least one software programming language.

PREFERRED QUALIFICATIONS

• Experience with Agile and Scrum methodologies
• Passion for simplicity and building highly leveraged reusable software platforms, components and APIs
• 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
• Excellence in technical communication with peers and non-technical cohorts

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.