Software Development Manager - AWS Glue, Glue and GenAI for Data Processing

Amazon • East Palo Alto, CA

1d

About The Position

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.

Requirements

• 3+ years of engineering team management experience
• 7+ years of working directly within engineering teams experience
• 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
• 8+ years of leading the definition and development of multi tier web services experience
• Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
• Experience partnering with product or program management teams

Nice To Haves

• Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
• Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

Responsibilities

• 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

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed