Software Development Engineer III, AAIS Mosaic Data Platform

As part of the AWS Applied AI Solutions organization we have a vision to provide business applications leveraging Amazons unique experience and expertise that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazons real-world experience to build opinionated turnkey solutions. Where customers prefer to buy over build we become their trusted partner with solutions that are no-brainers to buy and easy to use.

Amazon Connect is an AI-powered customer experience solution that enables superior outcomes at a lower cost. Since its 2017 public launch Amazon Connect has become an AI leader transforming how organizations of all types interact with their customers.

We are seeking an experienced SDE III to serve as the technical leader for the MOSAIC Data Platform a suite of six production services that power scalable compliant data ingestion storage transformation and discoverability for AWS AI services including Lex Rekognition Textract Transcribe Translate Comprehend Kendra and others. The platform handles production-critical customer traffic across 1519 AWS regions at AWS scale.

In this role you will own the end-to-end technical vision and architecture for the Data Platform driving cross-team and cross-org technical initiatives setting engineering direction and influencing org-level strategy for data compliance and flywheel automation. You will operate as the de facto technical authority within the Data Platform space making high-judgment calls on system design operational trade-offs and technology investments.

This is a high-impact role that requires both deep technical expertise in distributed systems at scale and the ability to lead through ambiguity translating complex organizational needs into multi-year roadmaps and driving alignment with senior leadership.

Key job responsibilities
Own the end-to-end technical vision and architecture for the Data Platform authoring multi-year roadmaps and driving alignment with org leadership on strategic technology investments.

Lead large-scale ambiguous initiatives (e.g. new region launches platform re-architectures compliance framework overhauls) from problem definition through delivery coordinating across multiple teams and organizations.

Establish engineering best practices and standards across the team including API design patterns service operational readiness requirements and CI/CD pipeline maturity that are adopted team-wide.

Proactively identify systemic risks scaling bottlenecks and operational gaps across the full service portfolio and drive solutions that prevent incidents and reduce operational toil org-wide.

Serve as the primary technical point of contact for cross-org stakeholders (AI service teams compliance security infrastructure) representing Data Platform in org-level design reviews and planning.

Mentor and develop engineers raising the technical bar through design review leadership career development coaching and establishing technical growth paths on the team.

Drive operational excellence as the senior escalation path for high-severity incidents authoring COEs with org-level impact and ensuring LORE compliance maturity across all services.

Influence the broader AAIS MOSAIC engineering culture through contributions to org-wide architecture forums bar-raising initiatives and thought leadership on distributed systems at scale.

A day in the life
The MOSAIC Data & Knowledge team is part of AWS AI Services (AAIS) and is responsible for the foundational data infrastructure that powers AI services used by millions of AWS customers. Our platform enables scalable compliant data ingestion storage transformation and discoverability ensuring that AI service teams can build and continuously improve their models through data flywheel automation.

We operate at the intersection of large-scale distributed systems data engineering and regulatory compliance. Our services handle sensitive customer data across 1519 AWS regions and must meet the highest bars for security availability and data governance. This is a team where your architectural decisions have a direct impact on the reliability and compliance posture of AWS AI services.

We value ownership technical depth and a bias for action. We are looking for builders who thrive in ambiguity take pride in operational excellence and are passionate about raising the bar for the engineers around them.

About the team
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- 5 years of non-internship professional software development experience
- 5 years of programming with at least one software programming language experience
- 5 years of leading design or architecture (design patterns reliability and scaling) of new and existing systems experience
- Experience as a mentor tech lead or leading an engineering team

- 5 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Experience building data platforms data lakes or ETL/ELT systems at scale.
- Deep familiarity with data compliance frameworks including GDPR PCI SOC ISO and HIPAA.
- Experience operating multi-region latency-critical services with sub-10ms p90 SLAs.
- Background in ML/AI data infrastructure data flywheel automation model training data pipelines or data set management systems.
- Experience working with event-driven architectures and streaming data pipelines.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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 for more information. If the country/region youre applying in isnt 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 WA Seattle - 168100.00 - 227400.00 USD annually