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Senior Full Stack Developer, Data Science, Professional Services

Job ID: 1826719 | Amazon Web Services, Inc.

DESCRIPTION

Job summary
The AWS Intelligent and Advanced Computing Technologies (IACT) organization is growing an application development team.

Our organization specializes in solving elusive problems. We are a hybrid team of machine learning, quantum computing and high performance computing professionals who directly support AWS customers with custom and off-the-shelf applications.

Our team offers the opportunity to engage directly with advanced technologies projects (e.g. computer vision, natural language processing, quantum simulation, and optimization) while supporting AWS customers (e.g. startups, Fortune 500, nonprofit, etc.) across all industries.

You should be ready to collaborate with customer and design teams to support machine learning application development from prototyping through production-ready deployment and management culminating in deprecation. While the focus will primarily be on backend pipelines, data structures, APIs, and micro-services architectures, the ability to help with frontend work will also be helpful. You should feel empowered to collaborate through ambiguous customer environments and understand how IACT applications can best solve customer needs.

Within AWS, you will work closely with Machine Learning, Quantum Computing, and High Performance Computing teams both within Professional Services and externally. You can expect to work with customer product managers, architects, and executives (e.g. Dir., VP, CxO).

Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 85,000 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 harmony. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here. We are a customer-obsessed organization—leaders start with the customer and work backwards. They work vigorously to earn and keep customer trust. As such, this is a customer facing role in a hybrid delivery model. Project engagements include remote delivery methods and onsite engagement that will include travel to customer locations as needed.

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

· 4+ years of experience as a full stack developer or similar role
· Familiarity with Machine Learning, High Performance Computing, or Quantum Computing
· Experience developing web services using any of the following: Python, Java, Node.js, Go, Scala
· Experience creating and maintaining pipelines, databases, and other backend systems

PREFERRED QUALIFICATIONS

· Experience developing machine learning models (e.g. Classical Machine Learning, Computer Vision, Natural Langauge Processing)
· Experience developing rich applications with HTML, CSS, front-end frameworks (such as React, Angular, Vue.js, Thymeleaf, etc.) and test frameworks (e.g. Jest, Mocha, Selenium, etc.)
· Experience with AWS and Serverless technologies is a plus
· Experience working with server side middleware technologies (Spring MVC, ExpressJS, Rails, etc)
· Familiarity with scrum/agile task tracking (e.g. Asana, JIRA, Confluence, etc.)
· Able to identify and mitigate risk on projects

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
For virtual jobs where work can be performed in Colorado: For employees based in Colorado, this position starts at 122,300 yr. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a range of medical, financial, and/or other benefits, dependent on the position offered.


For more information regarding Amazon benefits, please visit https://www.amazon.jobs/en/benefits. Applicants should apply via Amazon’s internal or external careers site.




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.