Cloud ML Systems Engineer - Large-Scale Backend

Amazon Web Services (AWS); Santa Clara (CA); On-site; USD 165,000 - 224,000; Full time

Benefits offered by this job

RSUs

Health insurance

401(k) matching

Paid time off

Job summary

Amazon Development Center U.S., Inc. is seeking a Software Development Engineer to design, develop, test, and deploy distributed machine learning systems for a world-wide customer base. You will influence the team road map, drive architecture, and promote best practices to deliver a high-quality product.

Collaboration with AI/ML practitioners, software engineers, and solution architects is essential. Join our team focused on foundational AI services powering the future of cloud computing and

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.
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field, or 3+ years of building production software experience.

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 promote best practices for a quality product.

Skills

Software development

System design

Distributed systems

C++/Java/ C#

Education

Bachelor's degree (CS/Engineering/Math)

Job description

Amazon Development Center U.S., Inc. is seeking a Software Development Engineer to design, develop, test, and deploy distributed machine learning systems for a world-wide customer base. You will influence the team road map, drive architecture, and promote best practices to deliver a high-quality product.

Collaboration with AI/ML practitioners, software engineers, and solution architects is essential. Join our team focused on foundational AI services powering the future of cloud computing and