Software Development Manager - AWS Glue, Glue and GenAI for Data Processing
Posted 1 day ago
Job Description
Do you enjoy working on large-scale distributed systems and Agentic AI ?
The team is responsible for the Apache Spark Upgrade Agent and broader SQL Migration Agents for Analytics services (Glue, EMR, Athena), the Remote MCP Service (SageMaker Unified Studio MCP), and the AWS Glue Python Service - Product and Runtime. The Remote MCP service is a stepping stone to building broader Migration Agents in the next 2-3 years to enable customers migrate their SQL workloads to AWS Analytics services (Athena, SparkSQL and Redshift).
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.
[1] Spark Upgrade agent - https://aws.amazon.com/blogs/big-data/introducing-apache-spark-upgrade-agent-for-amazon-emr/
The Role:
- Lead and grow a software development team responsible for building AI Agents for Analytics
- Manage the design, implementation, test, and deployment
- Conceive innovative new solutions for our customers, at the intersection of multiple fields: AI, Big Data, datalakes, serverless infrastructure, data analytics, and machine learning.
- Mentor engineers, provide leadership on complex technical issues, design trade-offs, and feature and schedule prioritization
- Work with senior executives to develop business targets and resource requirements, and influence our technical and business strategy
- Help hire talented engineers
This position represents an unusual opportunity to shape the technology and future of a rapidly evolving industry and business. As with all Amazon positions, you will also be deeply customer-centric.
Want to work on the coolest technology while growing your career, in a group that cares about people just as much as products?
If you’re a highly technical manager who wants to work at the intersection of multiple fields: AI, Analytics, datalakes, serverless infrastructure, Big Data, machine learning, and more, then come on board!
Want to work on real problems, ship real products, and grow a new pillar in the analytics space? Come join us.
A day in the life
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.
Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
The team is responsible for the Apache Spark Upgrade Agent and broader SQL Migration Agents for Analytics services (Glue, EMR, Athena), the Remote MCP Service (SageMaker Unified Studio MCP), and the AWS Glue Python Service - Product and Runtime. The Remote MCP service is a stepping stone to building broader Migration Agents in the next 2-3 years to enable customers migrate their SQL workloads to AWS Analytics services (Athena, SparkSQL and Redshift).
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.
[1] Spark Upgrade agent - https://aws.amazon.com/blogs/big-data/introducing-apache-spark-upgrade-agent-for-amazon-emr/
The Role:
- Lead and grow a software development team responsible for building AI Agents for Analytics
- Manage the design, implementation, test, and deployment
- Conceive innovative new solutions for our customers, at the intersection of multiple fields: AI, Big Data, datalakes, serverless infrastructure, data analytics, and machine learning.
- Mentor engineers, provide leadership on complex technical issues, design trade-offs, and feature and schedule prioritization
- Work with senior executives to develop business targets and resource requirements, and influence our technical and business strategy
- Help hire talented engineers
This position represents an unusual opportunity to shape the technology and future of a rapidly evolving industry and business. As with all Amazon positions, you will also be deeply customer-centric.
Want to work on the coolest technology while growing your career, in a group that cares about people just as much as products?
If you’re a highly technical manager who wants to work at the intersection of multiple fields: AI, Analytics, datalakes, serverless infrastructure, Big Data, machine learning, and more, then come on board!
Want to work on real problems, ship real products, and grow a new pillar in the analytics space? Come join us.
A day in the life
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.
Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Amazon
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