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 (SageMaker Unified Studio MCP), and the AWS Glue Python Service - Product and Runtime.
Apache Spark Upgrade Agent[1], 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. Apache Spark Upgrade 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. Remote MCP service provide Agents with a MCP-compliant (Json-RPC-based interface) for Tool calls with IAM based permissions and auditability through AWS CloudTrail.
The team also manages Glue Python Shell product and runtime. Glue Python Shell customers use Python 2 (2.7) and Python 3 (3.6 & 3.9).
[1] Spark Upgrade agent - https://aws.amazon.com/blogs/big-data/introducing-apache-spark-upgrade-agent-for-amazon-emr/
Key job 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.
About the team
About AWS
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
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