Software Development Engineer, AI Upgrades & Transformation; AWS

Software Development Engineer, AI Upgrades & Transformation

Job :  | Amazon Development Center U.S., Inc.

Do you enjoy working on large-scale distributed systems and Agentic AI? The team manages the Apache Spark Upgrade Agent for Analytics services (Glue, EMR, Athena), the Remote MCP Service (Sage Maker Unified Studio MCP), and the AWS Glue Python Service - Product and Runtime. The Apache Spark Upgrade Agent is a new generative Agentic AI capability that enables customers to upgrade their Apache Spark applications to newer versions.

Spark upgrades traditionally require 6-12 months of engineering effort for customers due to analyzing API changes, resolving dependency conflicts, and validating functional correctness across hundreds of enterprise applications. The agent reduces upgrade timelines from months to weeks through conversational interfaces, automated code transformation, and rigorous data quality validation, allowing engineers to use natural language for upgrades while maintaining approval control over changes and freeing engineering capacity for strategic innovation.

The Remote MCP service is a fully managed Model Context Protocol server that provides customers using AI assistants (Kiro, Claude, Cline) and Agents secure access to value-added Spark Troubleshooting, Code Recommendation and Upgrade tools for Analytics services. It provides a MCP-compliant (Json-RPC-based interface) for tool calls with IAM based permissions and auditability through AWS Cloud Trail. The team also manages the Glue Python Shell product and runtime, supporting Python 2.7 and Python 3.6 & 3.9.

• Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative Agentic AI products and enable customers to have a 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.

• 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.
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
• Experience programming with at least one software programming language.

• 3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
• Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference life cycles, and optimization techniques.
• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference life cycles, and optimization of model execution.

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.

Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

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