Software Development Engineer, AI Upgrades & Transformation

About the role

The team manages the Apache Spark Upgrade Agent for Analytics services (Glue, EMR, Athena), the Remote MCP Service (SageMaker Unified Studio MCP), and the AWS Glue Python Service - Product and Runtime. The team also manages Glue Python Shell product and runtime.

Responsibilities

• Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative Agentic AI products and enable our customer to have seamless transformation experience.
• Design and build innovative technologies by applying Generative AI in a large distributed computing environment and help lead fundamental changes in the industry.
• Design and code the right solutions starting with broadly defined problems.
• Work in an agile environment to deliver high-quality software applying Generative AI.

Requirements

• 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• 3+ years of non-internship professional software development experience
• 1+ years of software development engineer or related occupational experience
• 1+ 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
• Experience programming with at least one software programming language

Qualifications

• Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution

Skills

Preferred qualifications include:

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

Benefits

Not specified

Pay

Not specified

Schedule

Not specified