Aartificial intelligence, AWS, Data science techniques, Effective communication skills, Generative AI, Machine learning techniques, Python Programming, R Programming, SAS, SQL, Writing
About the team
Work/life balance
Our team highly values work-life balance. It's not 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 that finding the right balance between your personal and professional life is fundamental to lifelong happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own work-life balance.
Mentoring and career growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and mandates and are building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one guidance and thorough but gentle code reviews. We care about your career growth and strive to assign projects based on what will help each team member become a more well-rounded engineer and enable them to take on more complex tasks in the future.
We are open to hiring candidates to work out of one of the following locations:
Sao Paulo, SP, BRA
BASIC QUALIFICATIONS
PREFERRED QUALIFICATIONS
Amazon Web Services, Inc. (AWS) is a subsidiary of Amazon providing on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis. These cloud computing web services provide a variety of basic abstract technical infrastructure and distributed computing building blocks and tools. One of these services is Amazon Elastic Compute Cloud (EC2).
Canberra ACT, Australia
2-4 year
Sydney NSW, Australia
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year