Want to learn how to harness the power of machine learning for enabling efficient database management? Then read on.
Amazon Relational Database Service (Amazon RDS) is a cost-efficient and highly scalable database service that automates time-consuming administration tasks such as hardware provisioning, database setup, patching and backups.
We are looking for a highly skilled, experienced, and motivated engineer to help us in our endeavor to reinvent the customer experience with databases by bringing the power of machine learning to Amazon RDS. You will work on a team that architects, designs, and delivers an 'intelligent' service ground up with the guarantees of availability, reliability and performance to AWS customers. You will participate in product direction and road-map planning, data science integration, and hiring engineers to develop cutting-edge database services. This is a unique and rare opportunity to work alongside data scientists, database experts, seasoned engineers in launching a truly innovative AWS service. A successful candidate will bring deep technical and leadership expertise, and ability to work within a fast-paced startup culture in a large company to deliver solid code that has a broad business impact.
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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. 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.
• 2+ years of non-internship professional software development experience
• Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
• 1+ 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 equivalent - Masters or PhD preferred
• Knowledge of data structures, algorithms, operating systems, and/or distributed systems
• Experience operating large scale systems
• Experience in developing machine learning powered services
• Strong verbal and written communication skills
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, visit https://www.amazon.jobs/en/disability/us .