Software Development Engineer, AWS Quick

Amazon Development Center U.S., Inc.

Santa Clara (CA)

On-site

USD 140,000 - 185,000

Full time

5 days ago
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Job summary

Amazon Development Center U.S., Inc. in Santa Clara, CA is seeking Software Development Engineers to design, build, test, and deploy distributed ML systems for AWS Quick.

You will work with an experienced team of engineers and scientists on the Agentic AI platform, leveraging LLMs and large-scale architectures with global impact. You will influence the team's road map, drive system architecture, enforce engineering best practices, and mentor junior engineers in a fast-paced environment with

Qualifications

  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture experience
  • 2+ years of designing and developing large-scale, multi-tiered software applications using C#, C++, Java, or Perl

Responsibilities

  • Design, develop, test, and deploy distributed ML systems and large-scale solutions
  • Collaborate with team to influence strategy and define road map
  • Drive system architecture and enforce engineering best practices; mentor junior engineers

Skills

C#
C++
Java
Perl
Distributed systems
Software design
Communication

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field

Tools

AWS

Job description

Are you interested in building AWS AI services that use ML and LLM technologies? AWS Quick is growing, and we need Software Development Engineers who move fast, are capable of breaking down and solving complex problems, and have a strong will to get things done. This is an opportunity to work with an experienced team of engineers and scientists to build the innovative enterprise Agentic AI platform - Amazon Quick (https://aws.amazon.com/quick/). You will get the chance to work with the newest machine learning technologies, including LLMs and Agents, on a product with a high degree of visibility within AWS.

As a Software Development Engineer, you will be responsible for designing, developing, testing, and deploying distributed machine learning systems and large-scale solutions for our world-wide customer base. In this role, you will collaborate closely with your team to influence our overall strategy and define the team's road map. You will also drive the system architecture, spearhead best practices that enable a quality product, and help coach and develop junior engineers. A successful candidate will have an established background in engineering large scale software systems, a strong technical ability, great communication skills, and a motivation to achieve results in a fast paced environment.

AWS Agentic AI org drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create novel technologies. If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you.

Basic Qualifications
  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • 2+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
  • Experience building complex software systems that have been successfully delivered to customers
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field, or 3+ years of building production software experience
Preferred Qualifications
  • Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
  • Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for

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