DESCRIPTION
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- 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
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- 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
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- 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
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:
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.BASIC QUALIFICATIONS
PREFERRED QUALIFICATIONS
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. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how\-we\-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign\-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, East Palo Alto \- 212,700\.00 \- 287,700\.00 USD annually